{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":749,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":749,"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"},"query_hash":"23391c0c967d","filters":{"topic":"Urban and Freight Transport Logistics"}},"results":[{"id":"W2096658257","doi":"10.1287/trsc.1090.0279","title":"Models for Evaluating and Planning City Logistics Systems","year":2009,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":641,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"City logistics; Consolidation (business); Scheduling (production processes); Humanitarian Logistics; Traffic management; Computer science; Integrated business planning; Integrated logistics support; Operations research; Transport engineering; Business; Process management; Operations management; Engineering; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.161385543755704,"gpt":0.3205551225706211,"spread":0.1591695788149171,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003667904,0.00009388474,0.0001139429,0.00007680897,0.0001345724,0.00005363654,0.0001105345,0.00003700974,0.000001661914],"category_scores_gemma":[0.00001976638,0.00009210793,0.00001783813,0.0002208338,0.000124773,0.0002701789,4.131642e-7,0.00006104109,4.805057e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002326224,"about_ca_system_score_gemma":0.0000293282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005257318,"about_ca_topic_score_gemma":0.000003165065,"domain_scores_codex":[0.9991425,0.000002541922,0.0002213997,0.0001793142,0.0002386365,0.0002156315],"domain_scores_gemma":[0.9996327,0.00004344412,0.00002691833,0.00009550853,0.0001188779,0.0000825077],"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":[0.000005818805,0.000005577923,0.0008730444,0.00004139356,0.000002280822,0.00000227627,0.0008052493,0.9734637,0.002306943,0.02148173,0.00002707624,0.0009849536],"study_design_scores_gemma":[0.0002087019,0.00005272606,0.02365866,0.0000275875,0.00002085959,9.672341e-7,0.0001074737,0.9710458,0.0003221516,0.004368885,0.00005216011,0.0001340331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1535847,0.0003087049,0.8444621,0.000008957581,0.0002188424,0.0001865314,0.00004075279,0.0001539901,0.001035408],"genre_scores_gemma":[0.9885566,0.00001714934,0.01131226,0.00002637061,0.00003313589,0.000008679144,0.00002004447,0.000006688516,0.00001909207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8349718,"threshold_uncertainty_score":0.3756052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066991301","doi":"10.1016/j.sbspro.2012.03.088","title":"Reducing Social and Environmental Impacts of Urban Freight Transport: A Review of Some Major Cities","year":2012,"lang":"en","type":"review","venue":"Procedia - Social and Behavioral Sciences","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":252,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Transport policy; Environmental planning; Urban policy; Regional science; Business; Environmental policy; Geography; Urban planning; Transport engineering; Engineering; Public transport; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1079285163179506,"gpt":0.3033804698661112,"spread":0.1954519535481606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002747618,0.0003466865,0.001257624,0.0001005584,0.0001969152,0.00001505174,0.0001936857,0.000241545,0.00006605143],"category_scores_gemma":[0.000002814064,0.0002689396,0.0002361304,0.0002233648,0.001168562,0.0002435457,0.00002249941,0.0002257194,7.756583e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003929125,"about_ca_system_score_gemma":0.00008255023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008553835,"about_ca_topic_score_gemma":0.00001631201,"domain_scores_codex":[0.9983729,0.00002303947,0.0006440076,0.0002502536,0.0003435919,0.000366223],"domain_scores_gemma":[0.9995577,0.00002216781,0.0002388999,0.00005523127,0.00001296331,0.000113079],"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":[0.000006406153,0.0003050467,0.00931529,0.3236203,0.0001459286,0.00001216656,0.007716276,9.539261e-8,0.0001174264,0.001704248,0.0005156556,0.6565412],"study_design_scores_gemma":[0.002290623,0.001735674,0.03404129,0.1581727,0.04192602,0.0002072005,0.003641674,0.00002727372,0.000488173,0.001431155,0.7468579,0.009180277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009850037,0.9887729,0.000002721155,0.000008605602,0.0001764266,0.0003681634,0.0006188489,0.00003375734,0.0001685238],"genre_scores_gemma":[0.1005714,0.898844,0.00008278006,0.000006816231,0.0003394494,0.00002683678,0.00008648202,0.00002331429,0.00001890422],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7463422,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981576764","doi":"10.1016/j.apm.2011.07.033","title":"A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning","year":2011,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":238,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"TOPSIS; Analytic hierarchy process; City logistics; Multiple-criteria decision analysis; Multimodal transport; Sustainability; Operations research; Sustainable city; Environmental economics; Business; Computer science; Transport engineering; Urban planning; Engineering; Marketing; Economics; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.09318319083749121,"gpt":0.2191216165767075,"spread":0.1259384257392162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003275033,0.0002854458,0.000411498,0.00007052279,0.0001553698,0.00006309804,0.0001622623,0.0001274828,0.00001440582],"category_scores_gemma":[0.00005397257,0.0002585235,0.00006977744,0.00008682991,0.00011871,0.00007956849,0.00003576199,0.0002950238,0.00000381092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004283126,"about_ca_system_score_gemma":0.00001290053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009001824,"about_ca_topic_score_gemma":3.553655e-7,"domain_scores_codex":[0.9986027,0.000006276071,0.0004169268,0.0002904293,0.0001348839,0.0005488242],"domain_scores_gemma":[0.9992465,0.0002529517,0.00004688587,0.0002375493,0.00005865217,0.0001574559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002678629,0.000109811,0.0000357058,0.001293438,0.00005715732,0.00001519438,0.001789762,0.0863465,0.00003635257,0.9097182,0.00008755082,0.0004835456],"study_design_scores_gemma":[0.0001862672,0.00001815703,0.000003288503,0.00002521891,0.00006904529,0.000004783715,0.0005145316,0.6365917,0.0004908478,0.3618178,0.00004536952,0.0002329908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01331402,0.0001152259,0.8871683,0.000001837079,0.00002532502,0.000493611,0.00001089629,0.0003171112,0.09855371],"genre_scores_gemma":[0.6844157,0.00001292531,0.3152913,0.00001368424,0.0000470478,0.0001126819,0.00001721398,0.00004263577,0.00004682586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6711017,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095586526","doi":"10.1016/j.tre.2009.06.002","title":"A conceptual framework for agent-based modelling of logistics services","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":232,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto; Transport Canada","keywords":"Outsourcing; Business; Industrial organization; Conceptual framework; Conceptual model; Microsimulation; Diversity (politics); Process management; Computer science; Marketing; Transport engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1976131766883441,"gpt":0.3476745154325577,"spread":0.1500613387442137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006053334,0.0003078462,0.0006243834,0.000158254,0.0001422653,0.00002645332,0.0002201838,0.0002111322,0.00007946442],"category_scores_gemma":[0.00002880456,0.0003024458,0.0001731636,0.0004708861,0.0003774558,0.0001001258,5.032576e-7,0.0003863389,0.000004109068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002387622,"about_ca_system_score_gemma":0.00006927014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003523419,"about_ca_topic_score_gemma":0.00014651,"domain_scores_codex":[0.9974321,0.00004524079,0.001077287,0.0003741184,0.0005765517,0.0004946725],"domain_scores_gemma":[0.9982981,0.000442808,0.000141141,0.000298946,0.0005985108,0.0002204773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001114953,0.0002077988,0.001337491,0.01400888,0.00009978893,0.00003503827,0.0006085765,0.3673272,0.00008252401,0.6125158,0.0006277203,0.00303765],"study_design_scores_gemma":[0.006171465,0.00282843,0.03344116,0.02309421,0.002904382,0.000002266361,0.001028448,0.5489895,0.001981138,0.1677384,0.208404,0.00341664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00188564,0.02329366,0.9713875,0.0002025602,0.000138937,0.001164672,0.001603166,0.0001539051,0.0001699875],"genre_scores_gemma":[0.9074608,0.05128454,0.03824754,0.0003120008,0.00007309725,0.0001145658,0.00244556,0.00004300609,0.00001890399],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9331399,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2283115560","doi":"10.1016/j.trpro.2016.02.074","title":"Physical Internet Enabled Hyperconnected City Logistics","year":2016,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":208,"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","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"City logistics; The Internet; Sustainability; Green logistics; Business; Humanitarian Logistics; Traffic management; Sustainable city; Transport engineering; Integrated logistics support; Environmental economics; Process management; Computer science; Engineering; Economics; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.09383333429750032,"gpt":0.3026815554005496,"spread":0.2088482211030493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002332657,0.0001743028,0.00020194,0.0001565731,0.00005276151,0.00002453816,0.0002396514,0.000115265,0.000288064],"category_scores_gemma":[0.00009392849,0.0001265353,0.00006339795,0.0003845064,0.0002511686,0.00016545,0.000002991899,0.0003264225,0.0002455057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007938263,"about_ca_system_score_gemma":0.00005294286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004210326,"about_ca_topic_score_gemma":0.0003601198,"domain_scores_codex":[0.9984152,0.00002467757,0.0002675617,0.0002667838,0.0004921668,0.0005336489],"domain_scores_gemma":[0.9990535,0.0002265547,0.00001699805,0.0002056367,0.0002989635,0.0001983913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006022175,0.001417873,0.175225,0.00249154,0.0007024949,0.0008884352,0.01193187,0.003554467,0.2500341,0.429467,0.09143968,0.03224532],"study_design_scores_gemma":[0.006476484,0.00090892,0.696122,0.0005688741,0.0001911842,0.000007743231,0.0004514524,0.02980113,0.1634088,0.0389833,0.06077942,0.002300742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532491,0.00009526614,0.1392214,0.0001741083,0.0002333206,0.0004671963,0.0002350596,0.001322282,0.005002301],"genre_scores_gemma":[0.9981024,0.000121041,0.0005312709,0.00001511436,0.0002043775,0.00007131531,0.00007586759,0.0000601191,0.0008185122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.520897,"threshold_uncertainty_score":0.5159959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289516163","doi":"10.1016/j.tre.2022.102837","title":"The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework","year":2022,"lang":"en","type":"review","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":174,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Supply chain; Conceptual framework; Sustainability; E-commerce; Implementation; Supply chain management; Business; Conceptual model; Systematic review; Digital transformation; Process management; Knowledge management; Computer science; Marketing; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1459122755635063,"gpt":0.3916876200105865,"spread":0.2457753444470803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009968128,0.0007629287,0.002169429,0.0001864048,0.000421664,0.0001172659,0.0004132559,0.0003549191,0.0002954919],"category_scores_gemma":[0.0001130043,0.0005220486,0.0007047974,0.001372079,0.0007748122,0.0002802958,0.000003399196,0.001989318,0.000007970297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009821144,"about_ca_system_score_gemma":0.0001933378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002509749,"about_ca_topic_score_gemma":0.00005093108,"domain_scores_codex":[0.9955999,0.0002586466,0.002058918,0.0005493117,0.0009126949,0.000620495],"domain_scores_gemma":[0.9971064,0.001453091,0.000355344,0.0005635049,0.0002821805,0.0002395122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004551437,0.0001991489,0.0000893349,0.4897219,0.001039225,0.0001160768,0.001857464,0.000292125,8.054895e-8,0.1516607,0.008016984,0.3469615],"study_design_scores_gemma":[0.0002287427,0.0003303603,0.0002598185,0.08671352,0.001587314,0.000007395858,0.00006033625,0.00002933063,1.178464e-7,0.000726279,0.9095519,0.000504911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005158442,0.9835672,0.002122368,0.0001522955,0.0001235967,0.003172287,0.0102167,0.00009966065,0.0005406835],"genre_scores_gemma":[0.0007495626,0.9856657,0.0000866177,0.00009223248,0.00005874022,0.0006903325,0.0124823,0.0001074275,0.00006710459],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9015349,"threshold_uncertainty_score":0.9997231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2973520255","doi":"10.1016/j.cor.2019.104806","title":"Crowd-shipping with time windows and transshipment nodes","year":2019,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Transshipment (information security); Computer science; Operations research; Mathematics; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.03980411229667775,"gpt":0.2556619331662713,"spread":0.2158578208695935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157471,0.0001049454,0.0001264034,0.000146215,0.0001468219,0.0001609677,0.0001430262,0.00004712756,0.0001410095],"category_scores_gemma":[0.000002727156,0.00009007855,0.00001705898,0.0002234232,0.0001024476,0.0001329509,0.00001642087,0.0002693326,0.0001949637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692872,"about_ca_system_score_gemma":0.00003482012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911674,"about_ca_topic_score_gemma":0.00003727877,"domain_scores_codex":[0.9991242,0.00003517358,0.0001258593,0.0001858246,0.0002426193,0.0002863358],"domain_scores_gemma":[0.9995421,0.00007188446,0.00000210658,0.0002054138,0.00008163485,0.00009685598],"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":[0.00003521578,0.00008455923,0.007088983,0.0002308055,0.0001590606,0.00004769372,0.0026138,0.958256,0.01624903,0.006657672,0.002089296,0.006487872],"study_design_scores_gemma":[0.0006952551,0.0001489187,0.008750957,0.00009400544,0.000008803442,0.00001328781,0.00007300935,0.9841323,0.001343606,0.00003184799,0.004465834,0.0002421431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7641735,0.0006034125,0.2234202,0.0003275327,0.000163526,0.0007682305,0.00001789145,0.0002543218,0.01027135],"genre_scores_gemma":[0.9907889,0.00005049815,0.008205012,0.00002574075,0.00005151488,0.00001898976,0.00002836363,0.0000244521,0.0008065637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2266154,"threshold_uncertainty_score":0.3673296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057664353","doi":"10.1287/mnsc.1090.1142","title":"Empirical Analysis of Ambulance Travel Times: The Case of Calgary Emergency Medical Services","year":2010,"lang":"en","type":"article","venue":"Management Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":136,"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":"Nonparametric statistics; Travel time; Statistics; Variation (astronomy); Emergency medical services; Logarithm; Distribution (mathematics); Computer science; Econometrics; Mathematics; Transport engineering; Medicine; Medical emergency; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01587126440195109,"gpt":0.2536578699026877,"spread":0.2377866055007367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004499499,0.00008024454,0.0001479559,0.0002102825,0.00005929311,0.00000645475,0.0005601497,0.00003174412,0.000527403],"category_scores_gemma":[0.000009162705,0.00005330491,0.00006347211,0.001512988,0.0003996684,0.00004717511,0.00003740253,0.0001220838,0.000006090172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006504077,"about_ca_system_score_gemma":0.000007443339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006783946,"about_ca_topic_score_gemma":0.0003850715,"domain_scores_codex":[0.9990124,0.00000631473,0.0002467521,0.000159205,0.0004092324,0.0001661451],"domain_scores_gemma":[0.9994583,0.00002548133,0.00003416267,0.0003819946,0.00002782555,0.00007220498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006635714,0.001380391,0.3268313,0.002750683,0.004037014,0.0044505,0.007758614,0.07225609,0.01136783,0.5087976,0.005889623,0.05441401],"study_design_scores_gemma":[0.0001169255,0.00002628216,0.2861975,0.0000130511,0.0004016621,0.000008083126,0.0002037116,0.7112845,0.0007008964,0.0002773532,0.0006344107,0.0001355646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158363,0.00006407269,0.02498551,0.0001124442,0.0005119854,0.0001414817,0.0000144174,0.00004978904,0.05828405],"genre_scores_gemma":[0.99917,0.00005030438,0.0005937009,0.00005373346,0.00001324944,0.000003773978,0.000002526617,0.000004291346,0.0001084444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6390284,"threshold_uncertainty_score":0.5774693,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005464711","doi":"10.1080/01441647.2015.1038666","title":"Planning for Urban Freight Transport: An Overview","year":2015,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Traffic management; Transport engineering; City logistics; Business; Urban planning; Environmental planning; Key (lock); Transportation planning; Land use; Regional science; Engineering; Geography; Computer science; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2572624468399318,"gpt":0.3164256993676063,"spread":0.05916325252767451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006030163,0.0004689966,0.0009048365,0.00009524168,0.00006477808,0.00001329846,0.0003812291,0.0001926542,0.0001522432],"category_scores_gemma":[0.000006732297,0.0004128929,0.0003524853,0.0002640438,0.00006473655,0.0003053559,0.000001572641,0.0002562662,0.0000724753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005947836,"about_ca_system_score_gemma":0.00004796548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001860986,"about_ca_topic_score_gemma":0.00010135,"domain_scores_codex":[0.9978234,0.00002548921,0.0009468228,0.0004000455,0.0002455473,0.0005586629],"domain_scores_gemma":[0.9987423,0.00002144648,0.00007317439,0.000580324,0.00006597667,0.0005167242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009056864,0.002166809,0.3776864,0.033266,0.001402288,0.001640208,0.04537383,0.06804631,0.002214643,0.1048696,0.2520815,0.1103466],"study_design_scores_gemma":[0.0008491206,0.0001410036,0.005549872,0.0002844069,0.0002685267,0.000009316336,0.00003101264,0.00179393,0.0001406055,0.0004543661,0.989836,0.0006418367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03130307,0.5728973,0.3530888,0.00008438276,0.002794012,0.004544486,0.0007831148,0.002455335,0.03204947],"genre_scores_gemma":[0.9422016,0.02781327,0.02296532,0.0006104258,0.001366245,0.0006363538,0.002717765,0.000384468,0.001304548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108986,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009365067","doi":"10.1016/j.sbspro.2010.04.032","title":"Towards a taxonomy of City Logistics projects","year":2010,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":129,"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; Université de Montréal","funders":"Université de Montréal","keywords":"Taxonomy (biology); City logistics; Computer science; Process management; Business; Data science; Engineering; Transport engineering; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.1849685132024524,"gpt":0.2990346960979557,"spread":0.1140661828955033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001168045,0.00009297921,0.0001322077,0.00003776222,0.0001335043,0.00003007549,0.0001333358,0.00008746773,0.00003469889],"category_scores_gemma":[0.00001114078,0.00007446412,0.00002929019,0.0002019784,0.0007664242,0.00009166779,0.00001564911,0.0001488182,0.000001042882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006160353,"about_ca_system_score_gemma":0.00005724493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658579,"about_ca_topic_score_gemma":0.000355155,"domain_scores_codex":[0.9993918,0.000002677492,0.000134662,0.0001249731,0.000157722,0.0001881504],"domain_scores_gemma":[0.9998336,0.00000825451,0.00002761821,0.00003417524,0.0000405474,0.00005573353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000142945,0.0003714885,0.848639,0.0003132426,0.00001644785,0.00001519412,0.003950345,0.0000237507,0.02379699,0.03108699,0.001162718,0.09060952],"study_design_scores_gemma":[0.001583064,0.001223668,0.9006558,0.00006369825,0.0004759799,0.0000360042,0.002881112,0.006341583,0.03906876,0.01588842,0.02937581,0.002406088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923518,0.00005532073,0.001041685,0.00003261624,0.0003878604,0.0001546932,0.00003533882,0.00009196765,0.005848684],"genre_scores_gemma":[0.9964015,0.00001512325,0.003381669,0.000007198476,0.0001472176,0.00002021056,0.000002708605,0.000004527787,0.00001984305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08820343,"threshold_uncertainty_score":0.3036559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123009420","doi":"10.1016/j.tre.2020.102205","title":"Urban rail service design for collaborative passenger and freight transport","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Train; Transport engineering; Rail freight transport; Revenue; Profit (economics); Integer programming; Scheduling (production processes); Service (business); Service level; Operations research; Schedule; Computer science; Freight trains; Heuristic; Engineering; Operations management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.1517781929859554,"gpt":0.3228440491460741,"spread":0.1710658561601187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008757622,0.0004167357,0.0007198404,0.0001380261,0.0002960369,0.00005700411,0.0001457875,0.0002250935,0.000207815],"category_scores_gemma":[0.00004583807,0.0004165689,0.0001146613,0.001038237,0.0002710781,0.0002154916,0.000001198789,0.000442637,0.000009035691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003204967,"about_ca_system_score_gemma":0.0002137743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207707,"about_ca_topic_score_gemma":0.00155475,"domain_scores_codex":[0.9970624,0.0001272724,0.0009894862,0.0006367217,0.0005708469,0.0006132196],"domain_scores_gemma":[0.9972665,0.0005462572,0.00008865294,0.0003197108,0.001405485,0.0003734234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001121582,0.001699636,0.05074757,0.1707741,0.003240293,0.002991249,0.01691319,0.0268819,0.005763791,0.51741,0.1777674,0.02468919],"study_design_scores_gemma":[0.004379176,0.0004563019,0.09123222,0.004112175,0.001759869,0.00001161678,0.0008922826,0.004966556,0.002548007,0.005268821,0.8823655,0.002007509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009534445,0.2562978,0.7127935,0.003114601,0.0007139917,0.006395051,0.00828949,0.0007308705,0.002130246],"genre_scores_gemma":[0.5879639,0.3831516,0.01819804,0.0009964115,0.0002103795,0.001127514,0.007726176,0.0001739266,0.0004520413],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.704598,"threshold_uncertainty_score":0.9998286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886343885","doi":"10.1287/trsc.2018.0844","title":"Branch-and-Price–Based Algorithms for the Two-Echelon Vehicle Routing Problem with Time Windows","year":2018,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":123,"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","funders":"Natural Sciences and Engineering Research Council of Canada; TKI DINALOG; Université de Montréal","keywords":"Vehicle routing problem; Path (computing); Set (abstract data type); Column generation; Computer science; Routing (electronic design automation); Mathematical optimization; Algorithm; Operations research; Engineering; Mathematics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02525336733336839,"gpt":0.2377814720255807,"spread":0.2125281046922123,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003893833,0.0001225065,0.0001060188,0.00005631692,0.0003071614,0.00005624993,0.0002046825,0.00002920428,0.00002900103],"category_scores_gemma":[0.000006019693,0.0000841838,0.0000251519,0.0004920255,0.0005449151,0.0002258668,0.000001034991,0.00008169464,0.00001250693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317915,"about_ca_system_score_gemma":0.00006316632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002421579,"about_ca_topic_score_gemma":0.0001011007,"domain_scores_codex":[0.9990247,0.000003717172,0.0001892821,0.00022689,0.0002658844,0.0002895512],"domain_scores_gemma":[0.9995013,0.00008918699,0.00003503277,0.0001611344,0.0001370844,0.0000762023],"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":[0.0005311004,0.0002473297,0.08158546,0.000661226,0.0002121033,0.00003030911,0.02185524,0.3997963,0.3597118,0.03377481,0.0005331617,0.1010612],"study_design_scores_gemma":[0.001235356,0.0001566105,0.09390707,0.00004562699,0.00006541225,0.000001588231,0.000053067,0.8757302,0.02691402,0.0002854243,0.001319055,0.0002865805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465338,0.00005937476,0.8510736,0.0001238037,0.0001069538,0.0004928925,0.00003931077,0.0002400432,0.001330244],"genre_scores_gemma":[0.9814378,0.000003534835,0.01825877,0.00009410491,0.00006978404,0.00003502311,0.00001319807,0.00001885277,0.00006893539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.834904,"threshold_uncertainty_score":0.3432916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034318092","doi":"10.1016/j.ijpe.2009.06.038","title":"RFID benefits, costs, and possibilities: The economical analysis of RFID deployment in a cruise corporation global service supply chain","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Transport Canada","keywords":"Software deployment; Pallet; Supply chain; Cruise; Service (business); Corporation; Business; Investment (military); Scale (ratio); Computer science; Operations research; Industrial organization; Environmental economics; Operations management; Marketing; Economics; Finance; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01642070712898878,"gpt":0.2145772216599758,"spread":0.198156514530987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299416,0.000100201,0.0002283886,0.0002267575,0.0000155166,0.00004117874,0.00018717,0.00004731006,0.0000216544],"category_scores_gemma":[0.00002543742,0.00008971514,0.00007879503,0.0001602883,0.00003929545,0.0002692657,0.000008457179,0.0001135608,9.744188e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430494,"about_ca_system_score_gemma":0.00004343209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006392529,"about_ca_topic_score_gemma":0.001119942,"domain_scores_codex":[0.9990265,0.00001588717,0.0006663888,0.0001191631,0.00008416213,0.00008785285],"domain_scores_gemma":[0.9993856,0.0000270649,0.0002409052,0.0001118369,0.0001910912,0.00004349161],"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":[0.0001967923,0.0001209913,0.0879069,0.00001103636,0.0008383516,0.000004356526,0.0005818849,0.8782519,0.0001862766,0.02008221,0.0001951687,0.01162412],"study_design_scores_gemma":[0.001100615,0.0001471138,0.832476,0.00005808115,0.0003857437,0.0001187682,0.0005293063,0.1555454,0.001397141,0.006833004,0.001145328,0.0002635292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954803,0.0004192447,0.0007915575,0.002119915,0.0008657935,0.00008615436,0.00009494417,0.0000101475,0.0001319458],"genre_scores_gemma":[0.9981688,0.0009164123,0.0004838779,0.0001407589,0.0002479435,0.000001302785,0.00002637866,0.000005945084,0.000008624251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7445691,"threshold_uncertainty_score":0.3658477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997368401","doi":"10.1016/j.cor.2015.03.014","title":"Multi-period Vehicle Routing Problem with Due dates","year":2015,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vehicle routing problem; Flexibility (engineering); Operations research; Computer science; Routing (electronic design automation); Total cost; Service (business); Mathematical optimization; Transport engineering; Operations management; Business; Mathematics; Economics; Engineering; Statistics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.1381227408269031,"gpt":0.3090276518905967,"spread":0.1709049110636936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805227,0.0001173979,0.00012927,0.0001325463,0.0002272539,0.0002349031,0.0002584297,0.00005366932,0.00001588549],"category_scores_gemma":[0.00001932301,0.00009952138,0.00001814097,0.0004156195,0.0001343132,0.0001961281,0.00004442093,0.0003544707,0.0001211849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009823547,"about_ca_system_score_gemma":0.0001081566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105044,"about_ca_topic_score_gemma":0.0002969524,"domain_scores_codex":[0.9988765,0.00005367269,0.0001728685,0.0001997304,0.0003148891,0.0003823421],"domain_scores_gemma":[0.9991874,0.00003611636,0.000003871714,0.0002741167,0.0003070813,0.0001914767],"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":[0.0000128996,0.0001117828,0.002132126,0.00004381538,0.00006181427,0.0001270603,0.002876078,0.9794711,0.002632605,0.003000329,0.007168378,0.00236198],"study_design_scores_gemma":[0.0005930002,0.00009959538,0.001134835,0.00003660021,0.000004654078,0.00001642097,0.0002677618,0.9925674,0.0006635293,0.00001418388,0.004442013,0.0001599756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1396445,0.0004867809,0.8527956,0.000569278,0.0002778878,0.0007069666,0.00003534396,0.0005953313,0.004888363],"genre_scores_gemma":[0.8947593,0.000009931259,0.1046413,0.00002116043,0.0001040705,0.00003677468,0.00007038138,0.00003160859,0.0003254741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7551149,"threshold_uncertainty_score":0.4058364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1700519216","doi":"10.1142/9789813200012_0007","title":"From Managing Urban Freight to Smart City Logistics Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Series on computers and operations research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"City logistics; Business; Traffic management; Transport engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08240138169467133,"gpt":0.2781496831588772,"spread":0.1957483014642059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001958927,0.0003280395,0.0003728635,0.0002489574,0.0008164672,0.00044863,0.0004408265,0.0002891557,0.000182901],"category_scores_gemma":[0.00001511041,0.0003230985,0.00006217147,0.00003352289,0.0003862285,0.0001082295,0.0001428987,0.0009596787,0.00007146113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009410385,"about_ca_system_score_gemma":0.00004355314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002894191,"about_ca_topic_score_gemma":0.001100804,"domain_scores_codex":[0.9985087,0.00001938055,0.0002740197,0.0004371778,0.0003634165,0.0003972946],"domain_scores_gemma":[0.9987096,0.0001130496,0.00001387555,0.0007278346,0.0001786951,0.0002569311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007794162,0.00004090046,0.0003307005,0.0001367084,0.0004872691,0.0007474075,0.0008777343,0.4583766,0.00001003819,0.3192288,0.2053548,0.01433102],"study_design_scores_gemma":[0.0003913073,0.0004404036,0.0006918822,0.0006560865,0.00006196905,0.00001054251,0.00002827956,0.4012176,0.00002466761,0.005657559,0.5896952,0.001124571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0002960673,0.001725527,0.5186758,0.000595624,0.002405257,0.000876441,0.0007384253,0.000376615,0.4743102],"genre_scores_gemma":[0.3350838,0.006787336,0.0155965,0.0004329209,0.005364609,0.00007664566,0.001967227,0.0003620374,0.6343289],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5030793,"threshold_uncertainty_score":0.9999221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2287740117","doi":"10.1016/j.trpro.2016.02.081","title":"Logistics Sprawl in North America: Methodological Issues and a Case Study in Toronto","year":2016,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Urban sprawl; Atlanta; Metropolitan area; Geography; Regional science; City logistics; Transport engineering; Environmental planning; Identification (biology); Business; Land use; Engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2409812081970137,"gpt":0.4136785507532115,"spread":0.1726973425561978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929183,0.0001550372,0.0002729777,0.0001607499,0.00003639057,0.00001709804,0.0001129803,0.0000910021,0.00008813252],"category_scores_gemma":[0.0001512718,0.0001142381,0.00002037354,0.0004223179,0.0002334449,0.0001736656,0.000003991889,0.0002722739,0.000009207893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507734,"about_ca_system_score_gemma":0.00003147149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006401214,"about_ca_topic_score_gemma":0.3756985,"domain_scores_codex":[0.9984295,0.0001213649,0.0004050627,0.0003014084,0.0003169353,0.0004257257],"domain_scores_gemma":[0.9992183,0.0003896207,0.00001768646,0.0001526029,0.00009256029,0.0001291804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007792237,0.0003166609,0.969664,0.0001803102,0.00002401885,0.009858279,0.007878062,0.0005752802,0.0002082306,0.001039067,0.0001346076,0.01004356],"study_design_scores_gemma":[0.001194069,0.0003291834,0.9897321,0.00003266815,0.00001223758,0.00001673207,0.006792842,0.0007458712,0.00004435854,0.0003182624,0.0005457301,0.0002359395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887164,0.0007001362,0.009284431,0.00009072067,0.00004494265,0.0006843444,0.0000593022,0.0001596838,0.0002600521],"genre_scores_gemma":[0.9960112,0.001205328,0.002507247,0.000007433098,0.00003928916,0.0001442972,0.00001375937,0.00002887473,0.00004255098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3692973,"threshold_uncertainty_score":0.9676763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119203796","doi":"10.1080/00420980120094605","title":"Understanding the Movement of Goods, Not People: Issues, Evidence and Potential","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":87,"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":"Context (archaeology); Movement (music); Goods and services; Land use; Order (exchange); Business; Traffic congestion; Quality (philosophy); Transport engineering; Public economics; Economics; Geography; Economy; Engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1762003927271727,"gpt":0.2689423983559876,"spread":0.09274200562881488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001113049,0.0001117256,0.0001814008,0.00002875603,0.00009046145,0.00001211551,0.0000799839,0.00002530187,0.00001530169],"category_scores_gemma":[0.00002287393,0.00007824914,0.00003059816,0.0001083836,0.0001377849,0.00005415777,0.00002750447,0.00007426006,0.000002132856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004942269,"about_ca_system_score_gemma":0.000003760817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002498199,"about_ca_topic_score_gemma":0.0001314352,"domain_scores_codex":[0.9994133,0.000009371933,0.0001722775,0.0001007951,0.0001489251,0.0001553241],"domain_scores_gemma":[0.9997093,0.0000872517,0.00002313104,0.0001331745,0.00002317171,0.00002397273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002295402,0.0002405197,0.4736331,0.002507613,0.004401015,0.0002561212,0.06443301,0.0257571,0.00935664,0.1722501,0.2432961,0.003639109],"study_design_scores_gemma":[0.004415845,0.001159423,0.7618182,0.00246568,0.002643803,0.00008412953,0.06593093,0.05106708,0.008557121,0.04607898,0.05233933,0.00343948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.327298,0.4775872,0.1755677,0.00411192,0.002991199,0.001146032,0.00008057788,0.0007373156,0.01047999],"genre_scores_gemma":[0.9823952,0.01693322,0.0001466182,0.00005313874,0.00009633651,0.000005399162,8.645703e-7,0.00001152937,0.0003576796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6550972,"threshold_uncertainty_score":0.3190907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1938539561","doi":"10.1016/j.tre.2015.04.004","title":"Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tehran","keywords":"Transshipment (information security); Computer science; Operations research; Order (exchange); Integer programming; Order fulfillment; Transfer (computing); Supply chain; Business; Engineering; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.1424942326311312,"gpt":0.3235988033461293,"spread":0.1811045707149981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001305359,0.0003400264,0.0005234004,0.0002901524,0.0001077123,0.00004425856,0.0001469148,0.0001442063,0.0001116422],"category_scores_gemma":[0.00003232111,0.0003387747,0.00006512957,0.0008234803,0.0003391278,0.0002207882,0.000001079299,0.0005448309,0.00001926534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006954269,"about_ca_system_score_gemma":0.000115201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180326,"about_ca_topic_score_gemma":0.003793567,"domain_scores_codex":[0.9971195,0.0001126769,0.001030934,0.000472093,0.0007152458,0.0005495494],"domain_scores_gemma":[0.9987578,0.0001095377,0.00003939602,0.0002328864,0.0004096826,0.0004507074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006789516,0.001819026,0.421553,0.06628572,0.0009728848,0.0009380237,0.03219229,0.1462913,0.0008905645,0.248678,0.0195596,0.06014067],"study_design_scores_gemma":[0.00853524,0.0005072799,0.1647385,0.006633573,0.000943845,0.00001112612,0.00222869,0.01749169,0.0004489159,0.003731661,0.7919457,0.002783747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2722606,0.2755439,0.433035,0.00280689,0.001027471,0.007540631,0.0011035,0.001099838,0.00558211],"genre_scores_gemma":[0.887096,0.1106658,0.0006243737,0.0002061427,0.00004548982,0.0002253098,0.0009376885,0.00005965371,0.0001395538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7723861,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012127000","doi":"10.1057/mel.2012.8","title":"Understanding mode choice decisions: A study of Australian freight shippers","year":2012,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Mode choice; Reliability (semiconductor); Mode (computer interface); Business; Choice modelling; Mode of transport; Process (computing); Modal; Transport engineering; Operations research; Environmental economics; Economics; Computer science; Marketing; Public transport; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1838234901773936,"gpt":0.2601964386203025,"spread":0.07637294844290884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000222656,0.0002874025,0.0004310702,0.0001698592,0.00008870523,0.00004374449,0.0003103012,0.0001857543,0.0001922462],"category_scores_gemma":[0.00009128882,0.0003208945,0.00008932717,0.0001346562,0.0001359297,0.000183881,0.00004133939,0.0002878695,0.00004919764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003679917,"about_ca_system_score_gemma":0.0000222502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058703,"about_ca_topic_score_gemma":0.0004795229,"domain_scores_codex":[0.9984574,0.00002403033,0.0006303406,0.0002180079,0.0001052702,0.000564987],"domain_scores_gemma":[0.9988133,0.000382431,0.00008090342,0.0004529436,0.00002971436,0.0002407165],"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":[0.00006700831,0.001559977,0.4464371,0.0001794941,0.0007732284,0.00003276531,0.002626617,0.3454852,0.0001145967,0.1915814,0.01018603,0.0009565027],"study_design_scores_gemma":[0.01137155,0.00155416,0.2126832,0.0003181048,0.00229634,0.00008198405,0.01038319,0.5614449,0.0009221241,0.1197563,0.07288073,0.006307443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6177755,0.0007059226,0.3173197,0.00008362831,0.003676963,0.001192037,0.0008202955,0.0006735185,0.05775239],"genre_scores_gemma":[0.9963838,0.0001653191,0.002826557,0.00002726881,0.0002428914,0.00001263335,0.00005544209,0.00006818518,0.0002178928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3786083,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4252873615","doi":"10.4324/9781315644486","title":"An Introduction to Sustainable Transportation","year":2017,"lang":"en","type":"book","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Environmental planning; Business; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.01222786487436127,"gpt":0.2008255263302132,"spread":0.1885976614558519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006197931,0.000212791,0.0002136353,0.0001253373,0.00007333565,0.00006109195,0.0002034324,0.0002427835,0.0004656303],"category_scores_gemma":[0.0000030687,0.000222128,0.00005149145,0.00002254444,0.00002636161,0.0001674096,0.000001110923,0.0002042153,0.0001060838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001610816,"about_ca_system_score_gemma":0.000057018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002019765,"about_ca_topic_score_gemma":0.0001984792,"domain_scores_codex":[0.9992202,0.000002141919,0.0001834483,0.0002326299,0.0001266123,0.0002349854],"domain_scores_gemma":[0.999236,0.000003580822,0.00002384851,0.0005298365,0.00008091598,0.0001257785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009352857,0.00001308315,0.00001299402,0.0003494932,0.00004614118,0.00006996884,0.0001884479,0.01208981,0.00006383249,0.1734264,0.812233,0.001497433],"study_design_scores_gemma":[0.00007253205,0.0000531931,0.0002728298,0.000008863203,0.00005817182,8.053547e-7,0.00001657517,0.0003595331,0.0001097853,0.002633111,0.996111,0.0003035869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003821579,0.0001106095,0.09466762,0.000132531,0.0009905177,0.0003766769,0.00007249573,0.0007958057,0.9028155],"genre_scores_gemma":[0.00793568,0.00003865099,0.001103894,0.00002628299,0.002120687,0.00001488339,0.00147899,0.00008399216,0.9871969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.183878,"threshold_uncertainty_score":0.9058116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013672678","doi":"10.3141/2410-12","title":"Logistics Sprawl: Differential Warehousing Development Patterns in Los Angeles, California, and Seattle, Washington","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministère des Transports","funders":"Agence de l'Environnement et de la Maîtrise de l'Energie; University of Southern California","keywords":"Urban sprawl; Metropolitan area; Geography; Atlanta; Warehouse; Regional science; Cartography; Transport engineering; Economic geography; Urban planning; Engineering; Civil engineering; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.01790126515027833,"gpt":0.1950723605039016,"spread":0.1771710953536233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001226859,0.0004172189,0.0004601984,0.0002157068,0.0001403767,0.0002487503,0.0005510186,0.0003705549,0.00007330695],"category_scores_gemma":[0.0001980749,0.0004538192,0.0000825909,0.0001351442,0.00015078,0.00004811128,0.0004214785,0.0008103527,0.000009944779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985741,"about_ca_system_score_gemma":0.00009047046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000444911,"about_ca_topic_score_gemma":0.007592466,"domain_scores_codex":[0.9974506,0.0006745108,0.0006122784,0.0005395803,0.0003032794,0.0004197745],"domain_scores_gemma":[0.9980352,0.0004319116,0.0001502184,0.0008800339,0.000322077,0.0001805671],"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":[0.00008446837,0.002710062,0.5553958,0.0146708,0.001059905,0.0002718623,0.0331191,0.04778207,0.00560428,0.04965278,0.007696582,0.2819522],"study_design_scores_gemma":[0.002189388,0.000001142047,0.1733606,0.009732746,0.0002686066,0.00002339261,0.000143524,0.7280467,0.03498062,0.002981706,0.04514594,0.003125732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2751994,0.0006999848,0.7194396,0.0001309668,0.0002929008,0.0002720645,0.000364259,0.0003266027,0.003274221],"genre_scores_gemma":[0.9813979,0.000442348,0.01649117,0.000024975,0.00004010201,0.00003083975,0.001233325,0.00008391456,0.0002554637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7061985,"threshold_uncertainty_score":0.9997914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213233844","doi":"10.1287/trsc.2021.1088","title":"Stochastic Last-Mile Delivery with Crowd-Shipping and Mobile Depots","year":2021,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":77,"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":"Computer science; Operations research; Stochastic programming; Last mile (transportation); Decomposition; Integer (computer science); Routing (electronic design automation); Vehicle routing problem; Mile; Mathematical optimization; Engineering; Mathematics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01253344136680774,"gpt":0.1938978638639769,"spread":0.1813644224971692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000845485,0.0001064295,0.0001082143,0.00006992787,0.0001161509,0.00004954019,0.00008991352,0.00003010333,0.00004578218],"category_scores_gemma":[0.000004848011,0.0001002511,0.00001626691,0.0005292449,0.0002638495,0.000283588,0.000001441807,0.00009140501,0.00000697213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002049316,"about_ca_system_score_gemma":0.0000858284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000816505,"about_ca_topic_score_gemma":0.0002919969,"domain_scores_codex":[0.9991309,0.000003340912,0.0001549836,0.0002306438,0.0002588665,0.0002212478],"domain_scores_gemma":[0.9995978,0.00003012008,0.00001671292,0.0001294957,0.0001117415,0.0001141307],"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":[0.00004116611,0.0001013973,0.04151419,0.0003726452,0.00005769572,0.0005205271,0.008833666,0.7925066,0.1413522,0.005578041,0.00007153422,0.009050263],"study_design_scores_gemma":[0.001641701,0.0001908275,0.8483037,0.0002499044,0.0001728534,0.00007969019,0.001624874,0.1064612,0.0379089,0.0004210619,0.001795664,0.001149668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.818418,0.0004071319,0.1802379,0.000006043772,0.0001016044,0.00007910128,0.00002083473,0.0001358084,0.0005935723],"genre_scores_gemma":[0.9955078,0.00004718777,0.004299818,0.00003237749,0.00001624377,0.00001442473,0.0000220344,0.00001349751,0.00004656442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8067895,"threshold_uncertainty_score":0.4088121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054259620","doi":"10.1068/a38252","title":"Reexploring the Interface between Economic and Transport Geography","year":2006,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Concordia University; National Geographic Society","keywords":"Interface (matter); Economic geography; Geography; Regional science; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01290680428599191,"gpt":0.16776938118392,"spread":0.1548625768979281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007944721,0.0001319228,0.0001363747,0.00003317502,0.00009481101,0.00002918897,0.00003876199,0.00004893929,0.00001631631],"category_scores_gemma":[2.011804e-7,0.000112981,0.00002000021,0.000009071817,0.000108416,0.00008571227,0.00000848839,0.0001163017,0.000003967146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026079,"about_ca_system_score_gemma":0.000001210438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003908364,"about_ca_topic_score_gemma":0.000007366009,"domain_scores_codex":[0.9995481,0.000004979039,0.0001272005,0.0001527344,0.00001850862,0.0001484482],"domain_scores_gemma":[0.9998052,0.00004557294,0.0000176009,0.00008195253,4.788111e-7,0.00004922651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000489942,0.000002840841,0.9870319,0.00002705089,0.00004495566,0.00000502083,0.0004825125,0.01069392,0.00001623505,0.0007258495,0.0002054607,0.0007593638],"study_design_scores_gemma":[0.0004028253,0.00004269837,0.8121592,0.00002923778,0.00007890358,0.00000779311,0.0002653686,0.004475094,0.0002384268,0.0008957791,0.1810607,0.00034401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829329,0.005106393,0.005945176,0.0001143507,0.00004830975,0.00008191167,0.00001843646,0.00004857838,0.005703889],"genre_scores_gemma":[0.9987815,0.0006906658,0.000235078,0.00001021389,0.0001248584,0.000006471059,0.0000144305,0.00001261177,0.0001241917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808552,"threshold_uncertainty_score":0.4607231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W591225256","doi":"10.17226/22573","title":"Synthesis of Freight Research in Urban Transportation Planning","year":2013,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministère des Transports","funders":"","keywords":"Metropolitan area; Truck; Transport engineering; Business; Traffic congestion; City logistics; Mile; Last mile (transportation); Traffic management; Engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1194778006539211,"gpt":0.3154864414692216,"spread":0.1960086408153005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001723014,0.0005901667,0.001030688,0.00259002,0.0001604879,0.00006641874,0.0007786726,0.001075724,0.0004326952],"category_scores_gemma":[0.00002646875,0.0006404655,0.0002771963,0.0005018295,0.0008747777,0.0001718934,0.000004512142,0.003280161,0.0001416975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849949,"about_ca_system_score_gemma":0.0005564101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009993511,"about_ca_topic_score_gemma":0.003016449,"domain_scores_codex":[0.9936403,0.0002284569,0.001602836,0.0007504026,0.002467259,0.001310714],"domain_scores_gemma":[0.9968265,0.001183869,0.0001299511,0.0007543756,0.0007631892,0.0003421725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001540093,0.0007810415,0.0328285,0.03583854,0.002190731,0.004803946,0.044282,0.03167105,0.00752605,0.3463946,0.4618483,0.03029515],"study_design_scores_gemma":[0.005146305,0.001198204,0.2149364,0.01804578,0.0006764632,0.000002856973,0.002257635,0.005602806,0.02896941,0.09463993,0.6228012,0.005723006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03168293,0.00261626,0.001444228,0.00004674937,0.0004732155,0.003249387,0.001581918,0.0005587141,0.9583466],"genre_scores_gemma":[0.8377693,0.0005183921,0.00113049,0.00001015116,0.000371103,0.0008929592,0.001357383,0.000436075,0.1575142],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8060863,"threshold_uncertainty_score":0.9996046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1949293046","doi":"10.3141/2379-05","title":"Bikes for Urban Freight?","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Transport engineering; Traffic management; Work (physics); Quarter (Canadian coin); City logistics; Driving cycle; Truck; Business; Engineering; Automotive engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1058217298756234,"gpt":0.3284003496092018,"spread":0.2225786197335784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002005922,0.00031206,0.000502706,0.0009132751,0.0004938305,0.0001789194,0.001186414,0.0002594383,0.0006938402],"category_scores_gemma":[0.00009699661,0.0002313945,0.0005160723,0.001517835,0.0006192462,0.0007220361,0.000002941101,0.001897142,0.00007404437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208502,"about_ca_system_score_gemma":0.0002553023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431069,"about_ca_topic_score_gemma":0.008638459,"domain_scores_codex":[0.9944318,0.000299187,0.001445294,0.0003257112,0.002372883,0.001125117],"domain_scores_gemma":[0.994303,0.001019982,0.0001897717,0.0005049958,0.003499427,0.0004828607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001186758,0.0006894282,0.3892479,0.002221713,0.001028432,0.0001537012,0.006517076,0.01356834,0.02769198,0.03400967,0.5035138,0.02017121],"study_design_scores_gemma":[0.00241621,0.000729171,0.8514108,0.000330743,0.0001046489,6.820251e-7,0.001154867,0.002510717,0.005719398,0.0142347,0.1209176,0.0004704192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693772,0.0009323122,0.02274037,0.001661296,0.001502208,0.002344554,0.0002011127,0.0001375952,0.001103327],"genre_scores_gemma":[0.9922222,0.0009957164,0.004812717,0.00004100806,0.0004614698,0.0002649771,0.00003921556,0.0001125338,0.001050102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4621629,"threshold_uncertainty_score":0.9435993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2920519397","doi":"10.5267/j.ijiec.2019.1.001","title":"Consolidation centers in city logistics: A cooperative approach based on the location routing problem","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Consolidation (business); City logistics; Vehicle routing problem; Computer science; Routing (electronic design automation); Transport engineering; Operations research; Operations management; Business; Engineering; Computer network; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.0471612535857019,"gpt":0.2298890434012495,"spread":0.1827277898155477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185985,0.0001264654,0.0001536678,0.000278341,0.00002038843,0.0000700758,0.0002488078,0.00007877283,0.00002430042],"category_scores_gemma":[0.0002230584,0.0001044827,0.00005378323,0.0002693687,0.00002370165,0.0001188022,0.00000805085,0.0004763844,0.000006354016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524531,"about_ca_system_score_gemma":0.00009154671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009158967,"about_ca_topic_score_gemma":0.000001806642,"domain_scores_codex":[0.9989517,0.00002751601,0.0004956322,0.00008724811,0.0003129297,0.0001249724],"domain_scores_gemma":[0.9990581,0.0003172049,0.0001161746,0.00007615505,0.0003920835,0.00004023106],"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":[0.00002299842,0.00005263855,0.001359845,0.000006485276,0.00005730562,0.000007986617,0.0001679644,0.9928368,0.00008455971,0.004845773,0.0002762543,0.0002813663],"study_design_scores_gemma":[0.0009766663,0.00005242191,0.0008086374,0.0002031745,0.00001142356,0.00001041513,0.00008243609,0.9971607,0.0001649898,0.00005109317,0.0003726267,0.000105463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04119734,0.00001766038,0.9543928,0.0005773356,0.001912818,0.0002976423,0.00002549091,0.00005483353,0.001524116],"genre_scores_gemma":[0.9963206,0.000003575742,0.003218902,0.00008389288,0.0003032488,0.000005705356,0.00004107204,0.00001630286,0.000006698593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551232,"threshold_uncertainty_score":0.4260681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2195088785","doi":"10.1287/trsc.2015.0606","title":"Modeling Demand Uncertainty in Two-Tier City Logistics Tactical Planning","year":2015,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Plan (archaeology); Operations research; Computer science; Time horizon; A priori and a posteriori; Service (business); Stochastic programming; Process (computing); Service level; Routing (electronic design automation); Point (geometry); Mathematical optimization; Engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.1216101490862868,"gpt":0.3150124877331621,"spread":0.1934023386468753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005478525,0.0001314271,0.0001559057,0.0001602914,0.00005930593,0.00003896962,0.0002081691,0.00004492002,0.00001450804],"category_scores_gemma":[0.00004684234,0.0001291144,0.00002431987,0.0006178475,0.0002403219,0.0003243916,0.000001892463,0.0002073134,0.000008816739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138015,"about_ca_system_score_gemma":0.0001203838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358769,"about_ca_topic_score_gemma":0.0004056369,"domain_scores_codex":[0.9986527,0.000007696098,0.0003266722,0.000237424,0.0004316447,0.0003438376],"domain_scores_gemma":[0.9994745,0.00002954772,0.00001741358,0.0001523188,0.0001136944,0.0002125382],"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":[0.00001216938,0.00001385594,0.02742401,0.00001078484,0.000002036636,0.00003632415,0.001445944,0.9673737,0.0002151651,0.003359721,0.00001434639,0.00009194907],"study_design_scores_gemma":[0.0004611999,0.00001376283,0.01339516,0.00002040544,0.00001175424,0.000001427954,0.0002105655,0.983627,0.0001796447,0.001794691,0.0001036588,0.0001807373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4443803,0.00008459685,0.5529852,0.00001277444,0.0002300633,0.00006736357,0.00001286361,0.0001156089,0.002111258],"genre_scores_gemma":[0.9958531,0.000008491496,0.004011782,0.00003555484,0.00003646204,0.000005404891,0.0000245654,0.00001188131,0.00001274328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5514728,"threshold_uncertainty_score":0.5265133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128540120","doi":"10.1016/j.ejor.2021.02.009","title":"Scheduled service network design with resource management for two-tier multimodal city logistics","year":2021,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Integer programming; Multimodal transport; Decomposition; Network planning and design; Consolidation (business); Operations research; Linear programming; Resource allocation; Service (business); Flow network; Mathematical optimization; Transport engineering; Computer network; Engineering; Business; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1447291545781464,"gpt":0.3068228414253132,"spread":0.1620936868471668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002642532,0.0001289695,0.0001724545,0.00009715101,0.0002119813,0.0001414629,0.0002921261,0.00002256896,0.0001311648],"category_scores_gemma":[0.00009828468,0.0001064918,0.0000521798,0.0003750841,0.00007622511,0.00009774909,0.00003815503,0.0004926385,0.00002393372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008216241,"about_ca_system_score_gemma":0.0001292832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.05788e-7,"about_ca_topic_score_gemma":0.000006243297,"domain_scores_codex":[0.998062,0.0003715146,0.0003864643,0.0001494264,0.000673065,0.000357592],"domain_scores_gemma":[0.9980285,0.0003076747,0.00003874186,0.0001819028,0.00127652,0.0001667018],"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":[0.0002604682,0.000062054,0.0001679097,0.00006626021,0.000189964,0.001057979,0.0001048936,0.9776687,0.0003271537,0.006600693,0.01247346,0.001020451],"study_design_scores_gemma":[0.009811937,0.001276063,0.01189585,0.0006493386,0.0002192689,0.0004556559,0.0005634211,0.6551346,0.002738083,0.001103605,0.3152756,0.0008764989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002260845,0.0004952392,0.9794711,0.0004058841,0.0001393019,0.0002223821,0.00001696333,0.00002268687,0.01696553],"genre_scores_gemma":[0.6588002,0.00006954212,0.3389601,0.0001918676,0.0008981457,0.000005435296,0.00004050519,0.00006085025,0.0009734237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6565393,"threshold_uncertainty_score":0.4342608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093976283","doi":"10.1007/s11590-013-0662-1","title":"Service network design models for two-tier city logistics","year":2013,"lang":"en","type":"article","venue":"Optimization Letters","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Flexibility (engineering); Computer science; Traffic management; Service (business); Tier 2 network; Network planning and design; Tier 1 network; Fleet management; Transport engineering; Operations research; Telecommunications; Business; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.04759172000207915,"gpt":0.1971315001747639,"spread":0.1495397801726847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007248982,0.0001516608,0.0001367479,0.0000342181,0.00007060794,0.00005598611,0.0001241362,0.00006913037,0.0001573702],"category_scores_gemma":[0.000006711759,0.0001572566,0.00003737391,0.0001696907,0.00002683753,0.0001948971,0.000006230769,0.00008177795,0.0000219116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004113292,"about_ca_system_score_gemma":0.000007414304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077116,"about_ca_topic_score_gemma":0.000004392159,"domain_scores_codex":[0.9992678,0.00001254079,0.0002018522,0.0001433113,0.00008827282,0.0002862792],"domain_scores_gemma":[0.9995613,0.00007120119,0.00002834806,0.0001750654,0.00009265278,0.00007149766],"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":[0.000004137531,0.000006388878,0.00003055486,0.0000249121,0.00002375385,7.767767e-7,0.0000477543,0.9543192,0.00007700614,0.0006670877,0.04468507,0.0001133502],"study_design_scores_gemma":[0.0003107355,0.000008156818,0.0000146377,0.000008485737,0.00003114037,6.363965e-7,0.000003735767,0.9979182,0.00005110665,0.0006933622,0.0007627883,0.0001969933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007832557,0.00005863128,0.9974089,0.0005327532,0.0003874417,0.000458787,0.00001565949,0.0002877224,0.0007717367],"genre_scores_gemma":[0.1514141,0.00003001974,0.843575,0.004214822,0.0003342351,0.0001205114,0.0001737351,0.00006613055,0.00007150375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1538339,"threshold_uncertainty_score":0.6412736,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013845964","doi":"10.3141/1921-01","title":"Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Movement (music); Transport engineering; Geography; Environmental science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08155972353758163,"gpt":0.3112633383182536,"spread":0.229703614780672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001570988,0.0002989321,0.0004639855,0.0004305069,0.0005062144,0.00007710452,0.001011556,0.0001857389,0.000166058],"category_scores_gemma":[0.00006000674,0.0002460805,0.0003447247,0.0008324183,0.0003206045,0.0003898913,0.000003520296,0.001690652,0.000007715127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937587,"about_ca_system_score_gemma":0.001107057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3141617,"about_ca_topic_score_gemma":0.9782751,"domain_scores_codex":[0.9943852,0.0001995537,0.001388595,0.0003039144,0.002645443,0.001077326],"domain_scores_gemma":[0.9963074,0.0007499825,0.0001699809,0.0004299592,0.001849742,0.000492968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001809258,0.0005116577,0.1575295,0.0008328063,0.0005825601,0.00008748631,0.005551214,0.3767111,0.00313175,0.01283998,0.4236923,0.0167203],"study_design_scores_gemma":[0.003679719,0.0004472836,0.5189815,0.0002502829,0.0001450726,2.969784e-7,0.0005154048,0.303202,0.003193289,0.001795851,0.1671894,0.0005999757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527735,0.0004623258,0.03833793,0.004497021,0.0009501981,0.001720722,0.000395621,0.00005943793,0.0008032337],"genre_scores_gemma":[0.9933316,0.0004241635,0.003417643,0.0001905763,0.0004058588,0.0001107717,0.00004768423,0.00009528542,0.001976454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6641133,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116215860","doi":"10.5539/jsd.v5n7p18","title":"Towards Sustainable Facility Location – A Literature Review","year":2012,"lang":"en","type":"review","venue":"Journal of Sustainable Development","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Sustainability; Facility location problem; Framing (construction); Sustainable development; Computer science; Order (exchange); Facility management; Location model; Risk analysis (engineering); Business; Environmental planning; Operations research; Geography; Engineering; Civil engineering; Marketing; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.03269633292872551,"gpt":0.2501043177285717,"spread":0.2174079847998462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001690003,0.0006508735,0.002153895,0.0005497398,0.0001186634,0.0001151441,0.000532527,0.0004242772,0.0001152449],"category_scores_gemma":[0.0001240144,0.0004975027,0.0004455935,0.001354385,0.00004208447,0.0005131729,0.00006548808,0.00111978,0.00003968805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212365,"about_ca_system_score_gemma":0.002091223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001869947,"about_ca_topic_score_gemma":4.165618e-7,"domain_scores_codex":[0.9962806,0.00008815426,0.001911094,0.0002033632,0.000565696,0.000951118],"domain_scores_gemma":[0.9970685,0.00004320565,0.0005666576,0.0003517905,0.001634186,0.0003356899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003846191,0.0000669392,0.00000213344,0.5701048,0.0003912114,0.001827326,0.0004407533,0.00002716313,1.450944e-8,0.001023064,0.01020388,0.4159088],"study_design_scores_gemma":[0.0001204214,0.00002447,0.00001310128,0.04287202,0.0009379312,0.0003950531,0.000258332,0.000001266375,0.000001068947,0.00005248951,0.9548323,0.0004916084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.816697e-7,0.992162,0.004585496,0.00001774851,0.0003901596,0.0009170752,0.00001143389,0.00006637828,0.001849134],"genre_scores_gemma":[0.00002989195,0.9923829,0.001423789,0.00003670791,0.0002414582,0.00006565258,0.0001716025,0.00006289254,0.005585074],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9446284,"threshold_uncertainty_score":0.9997476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986930919","doi":"10.3328/tl.2011.03.03.161-173","title":"Proximity, land, labor and planning? Logistics industry perspectives on facility location","year":2011,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Business; Facility location problem; Environmental planning; Operations management; Geography; Operations research; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04074383843128464,"gpt":0.2145350522530467,"spread":0.173791213821762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005491032,0.0001488396,0.0001209144,0.00006770431,0.0000420616,0.00001101866,0.00006198374,0.0001139089,0.00005677844],"category_scores_gemma":[0.000008000326,0.0001487579,0.00002171204,0.0001217413,0.0001093613,0.0001088442,6.06823e-7,0.0003035088,0.00001223967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002810161,"about_ca_system_score_gemma":0.000007873071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004651453,"about_ca_topic_score_gemma":0.00004329311,"domain_scores_codex":[0.9993503,0.000009326378,0.0001830952,0.0001825972,0.0001173184,0.0001573282],"domain_scores_gemma":[0.9997179,0.00001910705,0.00002555824,0.0001248674,0.00004353576,0.00006904715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001288515,0.0001482061,0.915199,0.0003380303,0.000116033,0.0001130246,0.03274079,0.04128411,0.0008745977,0.007460552,0.001040199,0.0005565577],"study_design_scores_gemma":[0.0004337959,0.00004350091,0.9958429,0.00003153913,0.00005345871,0.000001106505,0.0009261061,0.0009381311,0.0009397888,0.0001741235,0.0003397406,0.0002758101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918201,0.0001369931,0.07999471,0.0001263905,0.0001559964,0.0001656594,0.0002107243,0.0002816009,0.0007269691],"genre_scores_gemma":[0.9986733,0.00002435926,0.0008082137,0.0002832339,0.00004416659,0.00001238079,0.0001246528,0.00001486405,0.00001485171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08064385,"threshold_uncertainty_score":0.606617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3081809454","doi":"10.1155/2020/8868533","title":"The Robustness and Sustainability of Port Logistics Systems for Emergency Supplies from Overseas","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Sustainability; Port (circuit theory); Business; Supply chain; Operations research; Operations management; Computer science; Risk analysis (engineering); Economics; Engineering; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.01772921386890611,"gpt":0.2252825074809778,"spread":0.2075532936120717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009910858,0.0001008169,0.0002313361,0.00002097218,0.00004321452,0.000007616485,0.00008480217,0.00004817008,0.00000445421],"category_scores_gemma":[0.00005281832,0.0000772586,0.00007866686,0.00007902354,0.0000592486,0.0001293631,6.520974e-7,0.0001068511,3.577283e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002596113,"about_ca_system_score_gemma":0.00003432869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007009714,"about_ca_topic_score_gemma":0.00002789438,"domain_scores_codex":[0.999041,0.000007021197,0.000613217,0.00007423836,0.0001516722,0.0001128928],"domain_scores_gemma":[0.9992067,0.0001018025,0.0001964637,0.00006999525,0.0003500278,0.00007498631],"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":[0.0002200204,0.0000145065,0.008012732,0.0004703632,0.00007488169,0.000009921095,0.0007532892,0.9861819,0.0004126321,0.00320683,0.000156925,0.0004860564],"study_design_scores_gemma":[0.00768289,0.001703886,0.6632226,0.000268703,0.00190992,0.00001186065,0.0261109,0.2285209,0.003188893,0.02033329,0.04581404,0.001232117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2204372,0.003925186,0.7742957,0.0001184722,0.0006652728,0.0002547731,0.0002559635,0.00002267694,0.00002479751],"genre_scores_gemma":[0.9959993,0.002134266,0.00167554,0.000003284301,0.0001200463,0.000004541221,0.00004215562,0.00001532443,0.000005575829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7755621,"threshold_uncertainty_score":0.3150514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308799544","doi":"10.1016/j.asoc.2022.109791","title":"Mathematical modeling of Vehicle Routing Problem in Omni-Channel retailing","year":2022,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Tehran","keywords":"Routing (electronic design automation); Computer science; Heuristic; Channel (broadcasting); Pareto principle; Product (mathematics); Function (biology); Vehicle routing problem; Distribution (mathematics); Operations research; Mathematical optimization; Computer network; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02272546618253651,"gpt":0.1905539200416689,"spread":0.1678284538591324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005136066,0.0001550445,0.0002972049,0.000104482,0.0001282817,0.00001246164,0.0002022774,0.00005037837,0.00004678707],"category_scores_gemma":[0.00000957284,0.0001845944,0.00005351102,0.0003032917,0.00002404706,0.00002702267,0.00009904063,0.0004488351,0.000008478124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008383863,"about_ca_system_score_gemma":0.00001641794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009303315,"about_ca_topic_score_gemma":0.000001549294,"domain_scores_codex":[0.998615,0.0000148459,0.000572384,0.0002059121,0.0002310593,0.0003608375],"domain_scores_gemma":[0.9996014,0.0001132992,0.00005457915,0.0001695552,0.00001619592,0.0000449716],"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":[0.000007381844,0.0000369211,0.0001794603,0.0001497879,0.00001466306,0.00000774353,0.001507125,0.9849824,0.001126865,0.01081498,0.000006354503,0.001166321],"study_design_scores_gemma":[0.0003212941,0.00001359145,0.0000213264,0.00004137777,0.00001123009,0.000003849778,0.0005992276,0.9923332,0.0002179866,0.00623415,0.00001764734,0.0001851254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3098657,0.0001428744,0.6673007,0.000008531336,0.00007852547,0.0002634944,0.000004976599,0.0003632639,0.02197189],"genre_scores_gemma":[0.9845565,0.00000134643,0.01530532,0.00001724573,0.00003817619,0.00001316503,0.00001037235,0.00004755832,0.00001034505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6746907,"threshold_uncertainty_score":0.7527542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518516015","doi":"10.20982/tqmp.01.1.p035","title":"L'analyse de régression logistique","year":2005,"lang":"fr","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1730506492859596,"gpt":0.4982535819499614,"spread":0.3252029326640019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005617588,0.0004798583,0.00103229,0.000399767,0.00008217378,0.00003099407,0.0004026417,0.0008591836,0.0004958489],"category_scores_gemma":[0.001988939,0.0005078383,0.0002867132,0.0005139944,0.0005356015,0.0001729903,0.00002340093,0.0006847238,0.0001115871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514994,"about_ca_system_score_gemma":0.0001074315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123438,"about_ca_topic_score_gemma":0.0003981351,"domain_scores_codex":[0.9953599,0.001714826,0.00116319,0.000650089,0.00011342,0.0009985907],"domain_scores_gemma":[0.9952998,0.003635527,0.0002180787,0.0004949629,0.0001569977,0.0001945983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006243142,0.000543705,0.002275743,0.000406829,0.0003432078,0.00005968926,0.003421124,0.01829285,0.05123015,0.7555236,0.01271906,0.1545597],"study_design_scores_gemma":[0.00283885,0.00065625,0.003281363,0.0002191812,0.0003015811,0.00003021414,0.0001610915,0.03398985,0.0122885,0.2208474,0.7245796,0.0008061323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00214841,0.03174084,0.9413491,0.002805772,0.01603422,0.0006054111,0.0001601609,0.0001274525,0.005028557],"genre_scores_gemma":[0.01102372,0.002495932,0.9819993,0.000381346,0.002401343,0.000159129,0.00004486635,0.000107347,0.001387041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7118606,"threshold_uncertainty_score":0.9997373,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991898437","doi":"10.3141/2246-11","title":"Analysis of Freight Global Positioning System Data","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":49,"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":"Global Positioning System; Cluster analysis; Computer science; Hierarchical clustering; Destinations; Point (geometry); Data mining; Transport engineering; Geography; Engineering; Machine learning; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2094538471078722,"gpt":0.3508533857760447,"spread":0.1413995386681726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003193667,0.0002609582,0.0007102719,0.00128157,0.0002963369,0.00005503818,0.002128463,0.0002176326,0.0003654006],"category_scores_gemma":[0.00005053228,0.0002060818,0.0004770705,0.005301486,0.0006096357,0.0006288635,0.000009662487,0.001355398,0.00001170536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907015,"about_ca_system_score_gemma":0.0002786861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007194478,"about_ca_topic_score_gemma":0.03356744,"domain_scores_codex":[0.9937381,0.0004976175,0.001785622,0.0003777058,0.002853236,0.0007477159],"domain_scores_gemma":[0.9955348,0.0003647259,0.0003373238,0.001079363,0.002328078,0.0003557323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009526682,0.0003497714,0.9418454,0.0009840853,0.004158299,0.0003633033,0.003390126,0.01425299,0.001216259,0.026405,0.003485724,0.002596378],"study_design_scores_gemma":[0.0007211054,0.0002301441,0.9862422,0.0002978189,0.00103258,7.561639e-7,0.001413711,0.007126642,0.0008226709,0.000727253,0.001173938,0.0002111521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498433,0.0007533501,0.04290841,0.0001049681,0.0008107054,0.0006353976,0.001484453,0.0001021152,0.003357327],"genre_scores_gemma":[0.9941886,0.0005349743,0.004888595,0.000006799451,0.00009871609,0.00001494156,0.0001650998,0.00004436797,0.00005787022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04439683,"threshold_uncertainty_score":0.9994167,"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","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688474,0.0001790214,0.0004472897,0.0008358169,0.0001700749,0.00001777123,0.0001368476,0.00009197662,0.0004642314],"category_scores_gemma":[0.00006025888,0.0001759428,0.0001958859,0.001296451,0.0005590816,0.0002442003,0.00002649117,0.0002823251,7.467403e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311038,"about_ca_system_score_gemma":0.0001029921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006593257,"about_ca_topic_score_gemma":0.002579463,"domain_scores_codex":[0.9984755,0.00008644554,0.0004224391,0.0003258088,0.0004119409,0.000277858],"domain_scores_gemma":[0.9987317,0.0002223477,0.00006121986,0.0002422078,0.0005466471,0.0001958291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002987149,0.0003333841,0.3226603,0.002333973,0.003668821,0.0002709785,0.5676664,0.02139983,0.07523894,0.005954684,0.0000349705,0.0001389843],"study_design_scores_gemma":[0.00029789,0.0001356089,0.8321958,0.000039364,0.0002271973,9.215145e-7,0.1561046,0.0005124404,0.009989705,0.0003547225,0.000003623356,0.0001381213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936708,0.001271067,0.003380505,0.00005683341,0.0000488306,0.0001441359,0.001089444,0.00008504369,0.0002533733],"genre_scores_gemma":[0.9992373,0.0001928577,0.000290181,0.000001959095,0.00001680305,0.000008845196,0.0001597028,0.00002702416,0.00006530788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5095354,"threshold_uncertainty_score":0.7174739,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994080613","doi":"10.1111/j.1541-0064.2001.tb01192.x","title":"Pour une localisation optimale des centres de transbordement intermodaux entre réseaux de transport: formulation et extensions","year":2001,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.01792152850201533,"gpt":0.2070340761278212,"spread":0.1891125476258059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003670037,0.0008634296,0.0006313196,0.002893284,0.0007618174,0.0001457367,0.0004851648,0.0005698007,0.0008270848],"category_scores_gemma":[0.00004853937,0.001055671,0.0006212447,0.004008339,0.001497643,0.0005877939,0.00001134269,0.0006130405,0.00001558651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086168,"about_ca_system_score_gemma":0.0008371377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8349946,"about_ca_topic_score_gemma":0.9964501,"domain_scores_codex":[0.9952679,0.0001277949,0.0008544427,0.0006813314,0.0002970464,0.00277147],"domain_scores_gemma":[0.9964454,0.0001595252,0.0001189163,0.0005631733,0.0002911709,0.002421845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001259319,0.0002407414,0.6454094,0.0008917773,0.001188461,0.002145909,0.01941197,0.08082833,0.0004842396,0.2005179,0.01045179,0.03830358],"study_design_scores_gemma":[0.001826853,0.0003026604,0.7869721,0.0009483815,0.001251732,0.0005302717,0.01253601,0.02153675,0.0002057752,0.0362136,0.1354534,0.00222244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057762,0.023348,0.04479563,0.01027808,0.001674182,0.0009534118,0.00191343,0.0004328665,0.01082823],"genre_scores_gemma":[0.959765,0.03167389,0.005924613,0.0007096126,0.0002733428,0.00007764305,0.0007541016,0.0001721322,0.0006497081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643043,"threshold_uncertainty_score":0.9991894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130662252","doi":"10.1287/trsc.1090.0266","title":"Optimal Baggage-Limit Policy: Airline Passenger and Cargo Allocation","year":2009,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":48,"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":"Newsvendor model; Revenue; Air cargo; Transport engineering; Air travel; Limit (mathematics); Business; Low-cost carrier; Aviation; Operations research; Supply chain; Engineering; Marketing; Finance; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01551575429785504,"gpt":0.2299489166018847,"spread":0.2144331623040296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655935,0.0001183186,0.0001069163,0.0001669628,0.0001027576,0.00003962671,0.0001339728,0.00004584334,0.00001932513],"category_scores_gemma":[0.00001011575,0.0001170246,0.00002282126,0.0005903799,0.0001932484,0.0003466848,6.277463e-7,0.00009853737,0.000009351153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003649383,"about_ca_system_score_gemma":0.00006354722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263867,"about_ca_topic_score_gemma":0.00005422442,"domain_scores_codex":[0.9990692,0.00000350031,0.0002109479,0.0002070727,0.0002666654,0.000242636],"domain_scores_gemma":[0.9996157,0.00001414812,0.00002092598,0.0001434501,0.00007435196,0.0001314837],"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":[0.0000617124,0.0002009174,0.01839876,0.0001733491,0.00003945701,0.00009287896,0.01207948,0.5167758,0.242238,0.15642,0.0009565131,0.05256309],"study_design_scores_gemma":[0.0004484321,0.0000856119,0.9274805,0.00001947359,0.00003279578,0.00000460631,0.0001052702,0.05405463,0.01376656,0.0005702285,0.003074014,0.0003579052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712009,0.0002159185,0.123769,0.0006346067,0.0001637525,0.0001648407,0.00003230815,0.0003886603,0.003430027],"genre_scores_gemma":[0.9939317,0.0001324857,0.005600142,0.000156635,0.00006472161,0.000003356099,0.0000343805,0.000009165738,0.00006748538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9090817,"threshold_uncertainty_score":0.4772126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W826252145","doi":"10.1016/j.apm.2015.04.058","title":"Collaboration partner selection for city logistics planning under municipal freight regulations","year":2015,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Veto; Selection (genetic algorithm); Operations research; Context (archaeology); City logistics; Grey relational analysis; Computer science; Fuzzy logic; Set (abstract data type); Ranking (information retrieval); Operations management; Engineering; Transport engineering; Mathematics; Artificial intelligence; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1649923743005872,"gpt":0.2844754659907547,"spread":0.1194830916901675,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002058492,0.0001781894,0.0002314287,0.00006249785,0.0001048283,0.00005823782,0.00009006142,0.0001644759,0.00001914673],"category_scores_gemma":[0.0000202904,0.0001738117,0.00004009116,0.0001988439,0.0000525591,0.00008224799,0.000008118821,0.0001502706,0.00002044322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009913488,"about_ca_system_score_gemma":0.00002832097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002273609,"about_ca_topic_score_gemma":0.000006105815,"domain_scores_codex":[0.998991,0.000006546181,0.0003587941,0.000177079,0.0001879581,0.000278687],"domain_scores_gemma":[0.9993809,0.0001628064,0.00003934944,0.0001700727,0.0001081878,0.0001386746],"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":[0.0000130173,0.00002315295,0.000006054989,0.00004692429,0.00001925713,2.441121e-7,0.0004103292,0.6508436,0.00008859143,0.3481428,0.0003872337,0.00001879192],"study_design_scores_gemma":[0.0002509135,0.00001336571,0.000001341494,0.00001382964,0.00005397179,0.000001099986,0.0001520214,0.6911676,0.0005199939,0.3070576,0.0006169364,0.0001513033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008466338,0.00005817935,0.976204,0.00002615168,0.0001110205,0.00039624,0.00001636987,0.0003751879,0.01434648],"genre_scores_gemma":[0.8445697,0.000003689538,0.1549288,0.00002345687,0.000150292,0.0000935159,0.00007476223,0.00004213105,0.0001135585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8361034,"threshold_uncertainty_score":0.7087837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2969271328","doi":"10.1080/01605682.2019.1650625","title":"A two-echelon location-routing problem with synchronisation","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Routing (electronic design automation); Vehicle routing problem; Facility location problem; Heuristic; Operations research; Mathematical optimization; Heuristics; Space (punctuation); Service (business); Computer network; Mathematics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04060148875511645,"gpt":0.2840266485880459,"spread":0.2434251598329294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196588,0.0000703952,0.00009706376,0.00002847443,0.0001682258,0.00008184039,0.0002235516,0.00004500248,0.0000807741],"category_scores_gemma":[0.00004067411,0.00004192262,0.00007967946,0.000308901,0.0000811027,0.0002173534,0.00001608247,0.0005653832,0.00002078975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293904,"about_ca_system_score_gemma":0.0003609989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082571,"about_ca_topic_score_gemma":0.00001087139,"domain_scores_codex":[0.9986607,0.00005020153,0.0002338111,0.00006726758,0.0008094522,0.0001786127],"domain_scores_gemma":[0.9989373,0.0001357171,0.00004656426,0.0001239206,0.0007057215,0.00005075976],"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":[0.00004340859,0.0000820075,0.02447368,0.0001919045,0.0002852414,0.000003685178,0.00246744,0.9130328,0.01874202,0.02839386,0.01172215,0.0005617753],"study_design_scores_gemma":[0.004514803,0.0006802191,0.06668616,0.001094684,0.00009254822,0.0002127362,0.002969397,0.8910697,0.01171115,0.004223854,0.01613416,0.0006106037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888063,0.001057027,0.08093888,0.004304307,0.0007349371,0.00117618,0.00001659016,0.00007071839,0.02363843],"genre_scores_gemma":[0.9909046,0.00005166314,0.008114263,0.00005688679,0.000219458,0.000003950734,0.000003561566,0.00001486607,0.0006308105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028416,"threshold_uncertainty_score":0.245634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1602650693","doi":"10.18757/ejtir.2012.12.3.2965","title":"The Influence of Time Windows on the Costs of Urban Freight Distribution Services in City Logistics Applications","year":2012,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Transport engineering; Context (archaeology); Service (business); Performance indicator; Computer science; Level of service; Quality (philosophy); Urban area; Operations research; Business; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02178611772469967,"gpt":0.240259850773074,"spread":0.2184737330483743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711548,0.0001103095,0.0001843046,0.00008300519,0.0001006995,0.00001268841,0.000399397,0.00004039422,0.0000210311],"category_scores_gemma":[0.00002556981,0.00006223864,0.0000521477,0.000308194,0.0004045235,0.0001002773,0.000011408,0.000661147,0.000002121823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757995,"about_ca_system_score_gemma":0.00002483746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006543399,"about_ca_topic_score_gemma":0.000007351958,"domain_scores_codex":[0.9986145,0.0001423878,0.0005281225,0.00006545283,0.0003934164,0.0002560771],"domain_scores_gemma":[0.9990942,0.0002535653,0.0001182899,0.0002052308,0.0002295352,0.00009918117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004509668,0.0002154861,0.8780591,0.0005703861,0.0002648132,0.00005564444,0.003137938,0.06381984,0.01182608,0.03157724,0.001947807,0.008074706],"study_design_scores_gemma":[0.000269628,0.0001155955,0.9846594,0.0001393515,0.0000240911,0.00001076912,0.0001048985,0.0003140822,0.001002527,0.0003238472,0.0129571,0.00007876079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900693,0.001298838,0.005317369,0.00006742057,0.00005621071,0.0002184492,0.0001422525,0.000008017933,0.002822173],"genre_scores_gemma":[0.9989005,0.0008448515,0.0000848003,0.000007266744,0.0001190753,0.000001491817,0.00001728604,0.00001411834,0.0000105796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066003,"threshold_uncertainty_score":0.2872392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1582152471","doi":"10.1002/0470871334","title":"Applied GIS and spatial analysis","year":2003,"lang":"en","type":"book","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cartography; Geography; Regional science; Operations research; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01122396634749091,"gpt":0.157242312574974,"spread":0.1460183462274831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002644672,0.0002100338,0.0003617226,0.000164814,0.00001610387,0.00001719719,0.00005869591,0.0002503955,0.001191659],"category_scores_gemma":[6.543844e-7,0.0001983777,0.00009055262,0.00007855866,0.00004274898,0.000007742489,0.000004191586,0.0001818858,0.00004987334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003836585,"about_ca_system_score_gemma":0.00001876805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407958,"about_ca_topic_score_gemma":0.0002417851,"domain_scores_codex":[0.9994248,0.00000149982,0.0001700852,0.0001675573,0.00009930355,0.0001368066],"domain_scores_gemma":[0.9996986,0.00001483905,0.00001496488,0.0001918191,0.000009586902,0.00007020198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001328974,0.0000392648,0.0007966516,0.0008464505,0.01188591,0.0001425604,0.0001902638,0.01297373,0.000056738,0.1730483,0.7823039,0.01770287],"study_design_scores_gemma":[0.0002842379,0.00001463689,0.0007201567,0.000009463025,0.003960294,0.000001981794,0.000002731518,0.01039092,0.00005509944,0.004040062,0.9796601,0.0008603081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002992936,0.0004023928,0.1774192,0.000001125962,0.00009374147,0.00006217888,0.00004278176,0.000195942,0.8217797],"genre_scores_gemma":[0.0180511,0.0003620696,0.001437602,0.00004756189,0.0001310572,0.000005669241,0.0004204918,0.00005968101,0.9794848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1973562,"threshold_uncertainty_score":0.9997214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1940954745","doi":"10.3141/2008-09","title":"Shipper Preferences Suggest Strong Mistrust of Rail","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Windsor; Transport engineering; Mode choice; Greenhouse gas; Preference; Business; Mode (computer interface); Government (linguistics); Revealed preference; Monorail; Public transport; Economics; Engineering; Computer science; Environmental science; Microeconomics; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1256322560796384,"gpt":0.3495517108011801,"spread":0.2239194547215417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004732623,0.0002847253,0.0005341995,0.0009604934,0.000280237,0.00006270201,0.001159941,0.0002639369,0.0005048987],"category_scores_gemma":[0.00009568645,0.0002187702,0.0003912696,0.001813184,0.0009518946,0.0004302855,0.000003623475,0.00232912,0.00001421765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849634,"about_ca_system_score_gemma":0.0003279313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002374397,"about_ca_topic_score_gemma":0.03842706,"domain_scores_codex":[0.9932503,0.0003055555,0.001834823,0.0002879309,0.003297595,0.001023851],"domain_scores_gemma":[0.9953471,0.0009749105,0.0002870307,0.0004695856,0.002489238,0.0004321774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002130735,0.0005374561,0.9149691,0.001606664,0.0006145207,0.0003446408,0.00544932,0.01220541,0.02105192,0.01389144,0.009574083,0.01762467],"study_design_scores_gemma":[0.001182019,0.0004417206,0.9715552,0.0003462531,0.00007106773,7.221893e-7,0.001992033,0.0002046346,0.01145772,0.001885875,0.01061878,0.0002439483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871463,0.0006059194,0.008279374,0.0002722984,0.00072469,0.0005739473,0.000172776,0.00005342955,0.002171239],"genre_scores_gemma":[0.9963749,0.001023424,0.001914226,0.000008664334,0.0002117004,0.00001354176,0.00003376676,0.00006537024,0.0003543872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0565861,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983707794","doi":"10.1016/j.jneb.2010.11.004","title":"Association between Travel Times and Food Procurement Practices among Female Supplemental Nutrition Assistance Program Participants in Eastern North Carolina","year":2011,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Department of Social Services, Australian Government; East Carolina University; University of Pittsburgh","keywords":"Supplemental Nutrition Assistance Program; Meal; Body mass index; Environmental health; Consumption (sociology); Procurement; Gerontology; South carolina; Geography; Demography; Medicine; Psychology; Business; Marketing; Food insecurity; Sociology; Agriculture; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.08130639680107032,"gpt":0.2972826915625775,"spread":0.2159762947615071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695043,0.0001048838,0.0001731398,0.0001402517,0.00003878437,0.00003721069,0.0000440679,0.00007206767,0.00003472738],"category_scores_gemma":[0.00001589884,0.0001052332,0.00003215023,0.0001049897,0.00002866483,0.0003987612,0.000003241542,0.0001688691,7.179538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237896,"about_ca_system_score_gemma":0.00003059004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001685423,"about_ca_topic_score_gemma":0.0003051699,"domain_scores_codex":[0.9991096,0.00002932714,0.0004250322,0.00009519279,0.0001825474,0.0001583549],"domain_scores_gemma":[0.9993536,0.00002027029,0.0003507284,0.00004516131,0.0001224294,0.000107771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009951904,0.004070562,0.9891822,0.0002178202,0.00003310838,0.000002782251,0.0009019703,2.838089e-7,0.00007569934,0.00001027317,0.0002022237,0.005293165],"study_design_scores_gemma":[0.0009801292,0.0004318203,0.9954672,0.0001506913,0.0002970156,0.000006353586,0.001305614,0.00003831523,0.0005697197,0.00004237136,0.0005980326,0.0001127115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984088,0.0005962157,0.00007621831,0.00006359401,0.0002120399,0.0005111062,0.00004537286,0.0000176754,0.00006898845],"genre_scores_gemma":[0.9958221,0.000369778,0.00329254,0.000006915259,0.0001931654,0.0002146721,0.00006186654,0.00001132698,0.00002757619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006285065,"threshold_uncertainty_score":0.4291286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2533310719","doi":"10.1016/j.aap.2016.10.008","title":"Modelling the impact of causal and non-causal factors on disruption duration for Toronto’s subway system: An exploratory investigation using hazard modelling","year":2016,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Duration (music); Context (archaeology); Hazard; Incident management; Transport engineering; Poison control; Public transport; Engineering; Computer science; Computer security; Geography; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.07190778497560685,"gpt":0.2782889848420761,"spread":0.2063811998664693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004236413,0.0002068141,0.0002925403,0.0001635059,0.0001274761,0.00005345992,0.00009056172,0.000109216,0.00001125538],"category_scores_gemma":[0.000006799784,0.0001337476,0.0002567853,0.0001956046,0.00003310866,0.0009014626,0.000007227884,0.00005609592,6.906468e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775658,"about_ca_system_score_gemma":0.0000230868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007300694,"about_ca_topic_score_gemma":0.002505806,"domain_scores_codex":[0.9987628,0.00006955773,0.0005311029,0.0002396211,0.0002133699,0.0001834775],"domain_scores_gemma":[0.9992852,0.00006739256,0.0002031079,0.0002554572,0.0001118174,0.00007709125],"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":[0.00002568207,0.00001840276,0.053636,0.00001713522,0.0004808969,2.505262e-7,0.0006921511,0.9375498,0.007121725,0.0003359667,0.000003521482,0.0001184343],"study_design_scores_gemma":[0.0002561094,0.0001050264,0.01211199,0.00009530601,0.001199031,3.691297e-7,0.0003215423,0.9828856,0.002486661,0.0003708676,3.355098e-7,0.0001671783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5051444,0.00006672364,0.4945143,0.000001532122,0.0000504298,0.0001769128,0.000003562606,0.00003691645,0.000005242792],"genre_scores_gemma":[0.9984378,0.0001042697,0.001117374,7.795067e-7,0.00009715121,0.00002444262,0.0001771593,0.00002959597,0.00001141065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.493397,"threshold_uncertainty_score":0.5454069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3146336879","doi":"10.1016/j.jtrangeo.2021.103037","title":"A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning","year":2021,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Birla Institute of Technology and Science, Pilani","keywords":"Zoning; Genetic algorithm; Transport engineering; Operations research; Land use; Computer science; Flow network; Compact space; Engineering; Mathematical optimization; Mathematics; Civil engineering; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.03201084311967268,"gpt":0.2210441575037974,"spread":0.1890333143841248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003147394,0.0003338254,0.0006135575,0.0004749604,0.0001060122,0.00004596176,0.0002284885,0.0001834741,0.000007066858],"category_scores_gemma":[0.000006219843,0.0003286008,0.0005115336,0.0005910958,0.00004341117,0.0001855396,0.000001198116,0.0003616103,9.069414e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004514243,"about_ca_system_score_gemma":0.00008390524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001136645,"about_ca_topic_score_gemma":0.000002678182,"domain_scores_codex":[0.997898,0.00003071501,0.0009601712,0.0002765745,0.0003779002,0.0004565897],"domain_scores_gemma":[0.9988735,0.00007636147,0.000159562,0.0001781568,0.000419685,0.0002926834],"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":[0.00008803234,0.0001818841,0.009683072,0.0002557231,0.0005812186,0.0003871082,0.001717203,0.9850417,0.001128378,0.00003531579,0.000181497,0.0007188036],"study_design_scores_gemma":[0.006807918,0.001104392,0.4413604,0.0009711031,0.002281579,0.0005650069,0.002502195,0.5268831,0.005849719,0.0001117397,0.009644621,0.001918338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02484662,0.007489829,0.9659457,0.000006516815,0.0008277069,0.0004643255,0.0002066894,0.00009331343,0.0001193426],"genre_scores_gemma":[0.4305172,0.0002066865,0.5688347,0.00002040766,0.0002258217,0.00004065359,0.00007764442,0.00006327711,0.00001362029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4581587,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092067024","doi":"10.1002/j.2158-1592.2010.tb00131.x","title":"AN ANALYSIS OF FACTORS AFFECTING CROSS DOCKING OPERATIONS","year":2010,"lang":"en","type":"article","venue":"Journal of Business Logistics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":39,"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":"DOCK; Pallet; Doors; Business; Transport engineering; Operations management; Computer science; Operations research; Marketing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02957463433696077,"gpt":0.2640205693078934,"spread":0.2344459349709326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535149,0.0001423871,0.000423213,0.0004064945,0.00007172994,0.00007502428,0.0002372453,0.0001222029,0.00006900573],"category_scores_gemma":[0.0002604179,0.0001177053,0.0001387773,0.0008539049,0.0001049706,0.0002224416,0.00000732656,0.0003746577,5.668138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002616657,"about_ca_system_score_gemma":0.00004277417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004389539,"about_ca_topic_score_gemma":0.0004409014,"domain_scores_codex":[0.9989243,0.00001273621,0.0006018231,0.00007809922,0.0002181596,0.00016495],"domain_scores_gemma":[0.9987379,0.000116049,0.0001521892,0.0002160311,0.0006824413,0.0000953598],"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":[0.00000490301,0.00005259641,0.1044958,0.00003579625,0.0002726212,0.00002133504,0.0002170489,0.8796619,0.01453726,0.0005730083,0.000006892147,0.0001207637],"study_design_scores_gemma":[0.0001832334,0.00003097812,0.6296325,0.00001545963,0.0009392271,0.00001245332,0.0001009011,0.3664864,0.002335598,0.00003636108,0.00007343829,0.0001533758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775869,0.0000344236,0.4214503,0.000002727458,0.0007379718,0.00001933302,0.0000298635,0.00002244168,0.0001160001],"genre_scores_gemma":[0.9939768,0.00003566569,0.005698218,0.000004823545,0.0002331664,1.847484e-7,0.00002568744,0.00002132009,0.000004120854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5251367,"threshold_uncertainty_score":0.4799883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1266638216","doi":"10.1016/j.ijpe.2015.08.018","title":"A multi-period location model with transportation economies-of-scale and perishable inventory","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; Qinglan Project of Jiangsu Province of China; Ministry of Education of the People's Republic of China; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Time horizon; Economies of scale; Total cost; Operations research; Computer science; Inventory cost; Nonlinear programming; Scale (ratio); Fixed cost; Business; Supply chain; Mathematical optimization; Nonlinear system; Microeconomics; Economics; Mathematics; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.03688750848776234,"gpt":0.2110829065915245,"spread":0.1741953981037621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149536,0.00007956572,0.0001370253,0.0001278445,0.00001099393,0.00001970154,0.00009341421,0.00003730423,0.000005451835],"category_scores_gemma":[0.000009908745,0.00007843327,0.00002812049,0.0000297179,0.00005991416,0.000451063,0.000001924054,0.00008661953,0.000001225941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292121,"about_ca_system_score_gemma":0.00009241042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007234906,"about_ca_topic_score_gemma":0.0001386917,"domain_scores_codex":[0.9994116,0.000004474874,0.0003729071,0.00008348505,0.00006781004,0.00005972179],"domain_scores_gemma":[0.9993603,0.000003331618,0.0001685725,0.0000624348,0.0003411479,0.00006427915],"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":[0.0001002269,0.00004422228,0.01439267,0.00002166484,0.0001083519,0.000001909677,0.001303585,0.9823861,0.0003834574,0.0002965125,0.000190364,0.0007709044],"study_design_scores_gemma":[0.002111775,0.0001894169,0.01395515,0.00008100185,0.00009452672,0.0001774374,0.00109364,0.9708552,0.007303764,0.001200644,0.002642303,0.000295175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335927,0.0002506886,0.06478145,0.0001919709,0.0009334148,0.00005735233,0.0000171277,0.00001525284,0.0001600525],"genre_scores_gemma":[0.9847729,0.0002393095,0.01466697,0.00001030106,0.0001997853,0.000002059506,0.00001479835,0.00001495753,0.00007895026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05118018,"threshold_uncertainty_score":0.3198416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W947918510","doi":"10.1016/j.ijpe.2015.07.017","title":"A dynamic pricing strategy for a 3PL provider with heterogeneous customers","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Dynamic pricing; Business; Computer science; Operations management; Process management; Marketing; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03422867838161514,"gpt":0.234490094739607,"spread":0.2002614163579918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457125,0.00009162905,0.0001259269,0.0001384614,0.00001327251,0.00004096507,0.0001422701,0.00003315436,0.000004911527],"category_scores_gemma":[0.00002223694,0.00008168028,0.00005189036,0.0000299416,0.00003050677,0.0002557326,0.000003762336,0.00009807376,0.000003341271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008854,"about_ca_system_score_gemma":0.00009402433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002288499,"about_ca_topic_score_gemma":0.00003661431,"domain_scores_codex":[0.9994019,0.000004131651,0.0003158706,0.0000901999,0.00008799815,0.00009991974],"domain_scores_gemma":[0.9993582,0.00001059104,0.0001383679,0.00006602407,0.0003553445,0.00007143986],"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":[0.0001580561,0.00002756909,0.0003191357,0.00001376657,0.0002547648,0.00001189572,0.0001723973,0.9933861,0.0001590441,0.0003332867,0.0004257631,0.004738235],"study_design_scores_gemma":[0.008971944,0.002196759,0.001839079,0.0002552512,0.0004504543,0.007829175,0.001642586,0.7772368,0.01938829,0.01009409,0.1685552,0.001540363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8678044,0.0003843688,0.1244133,0.0005571111,0.005674702,0.0002549586,0.00003066965,0.00006471598,0.000815706],"genre_scores_gemma":[0.993778,0.00009476069,0.005477113,0.00002492817,0.0004576981,0.000004502462,0.000009093,0.00002464585,0.0001292075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2161493,"threshold_uncertainty_score":0.3330825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}