{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":414,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":414,"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":"6d6c3a847eb7","filters":{"topic":"E-commerce and Technology Innovations"}},"results":[{"id":"W2767213251","doi":"10.1016/j.tele.2017.11.004","title":"Unstructured big data analytics for retrieving e-commerce logistics knowledge","year":2017,"lang":"en","type":"article","venue":"Telematics and Informatics","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":116,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada","funders":"Ministry of Science and Technology, Government of the People’s Republic of Bangladesh; Vital Strategies; Ministry of Science and Technology","keywords":"E-commerce; Big data; Analytics; Humanitarian Logistics; Integrated logistics support; Cloud computing; Business intelligence; Distribution management system; Business; Business analytics; Payment; Mobile commerce; Knowledge management; Traffic management; Computer science; Business model; Industrial organization; Marketing; Process management; Data science; Electronic business; Data mining; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.1600207638576172,"gpt":0.3163908870607258,"spread":0.1563701232031086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006851071,0.0002290662,0.0003627858,0.0002776489,0.001156365,0.0009870983,0.001339622,0.0001883302,0.0000148969],"category_scores_gemma":[0.002050004,0.0002005958,0.0000433808,0.0002472324,0.0003866442,0.001458521,0.001268226,0.0002431626,0.00004035055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015737,"about_ca_system_score_gemma":0.00003593452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002956102,"about_ca_topic_score_gemma":0.00009619441,"domain_scores_codex":[0.998604,0.000002458029,0.000767134,0.0001496491,0.0001491339,0.0003276214],"domain_scores_gemma":[0.9968469,0.000137418,0.0008985185,0.00173581,0.000363042,0.00001833329],"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":[0.00001425582,0.0001079308,0.01963439,0.00316827,0.0001958146,0.000001825365,0.0004108869,0.00003189969,0.00001988875,0.7495563,0.06713986,0.1597187],"study_design_scores_gemma":[0.00168438,0.00004024878,0.01002042,0.0002948965,0.0005073544,0.00001254856,0.002681533,0.5366642,0.00003917511,0.06280157,0.3844392,0.0008144708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797091,0.0003500787,0.6412854,0.01419567,0.00410718,0.002911621,0.0006696082,0.0009466057,0.1558247],"genre_scores_gemma":[0.9770355,0.00007772596,0.01985096,0.001544971,0.0008475984,0.00001135848,0.0003460976,0.00003271779,0.0002530433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7973264,"threshold_uncertainty_score":0.9518612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4244033564","doi":"10.1300/j179v01n03_08","title":"Driving Forces for M-Commerce Success","year":2002,"lang":"en","type":"article","venue":"Journal of Internet Commerce","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mobile commerce; E-commerce; Order (exchange); Key (lock); Computer science; The Internet; Value (mathematics); Extension (predicate logic); Business; Marketing; Industrial organization; World Wide Web; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.03264125439995633,"gpt":0.2632518939609066,"spread":0.2306106395609503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004486945,0.0001956182,0.0003514033,0.000591772,0.000142851,0.0002387617,0.0008676187,0.0001250277,0.0006620511],"category_scores_gemma":[0.0003252269,0.0001690569,0.0002190781,0.0004641533,0.0001202995,0.001378353,0.0001814322,0.000421038,0.000121768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385741,"about_ca_system_score_gemma":0.000005952504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030087,"about_ca_topic_score_gemma":0.0001166619,"domain_scores_codex":[0.9986104,0.00001000645,0.0007182137,0.0001499622,0.000206011,0.0003054297],"domain_scores_gemma":[0.9981958,0.0001802262,0.0008068217,0.0002486341,0.0005512838,0.00001728209],"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":[0.00005358088,0.0004060484,0.1462604,0.0001621757,0.0002534892,0.00002066071,0.0002202369,0.00002862795,0.0008506679,0.1279564,0.6853648,0.0384229],"study_design_scores_gemma":[0.001979165,0.0001551853,0.01581872,0.0004349365,0.0001851441,0.0001142691,0.0009960093,0.01004812,0.0005454571,0.005497372,0.9637358,0.0004898016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889549,0.0003732253,0.01608106,0.05212118,0.001469112,0.000303965,0.000003044729,0.0001447339,0.03995473],"genre_scores_gemma":[0.9882383,0.0000265564,0.000928338,0.007506164,0.00108291,0.00001026869,0.000005449473,0.00003452863,0.002167537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.278371,"threshold_uncertainty_score":0.7248996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412932018","doi":"10.3390/jrfm18080421","title":"Digital Transformation in International Trade: Opportunities, Challenges, and Policy Implications","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Transformation (genetics); International trade; Digital transformation; Business; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02434399643494467,"gpt":0.2464351582377261,"spread":0.2220911618027814,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964228,0.00007290601,0.0001112849,0.001079605,0.00008040898,0.0000910922,0.0001180412,0.00004827799,0.000002492484],"category_scores_gemma":[0.00005027168,0.00006905918,0.00002706303,0.0003115268,0.00005664301,0.0008489378,0.00006117363,0.0001402214,7.051944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002550916,"about_ca_system_score_gemma":0.00001674877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000026465,"about_ca_topic_score_gemma":0.00005981939,"domain_scores_codex":[0.9994404,0.000002926701,0.0003192286,0.00007422164,0.00007249304,0.00009076105],"domain_scores_gemma":[0.9997191,0.00001639732,0.0001629725,0.00006210129,0.00003346164,0.000005927342],"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":[0.000008787051,0.00003444372,0.003173204,0.00002473545,0.000008274044,0.000002964836,0.0000695839,9.793886e-7,7.025094e-7,0.4893279,0.0003184922,0.50703],"study_design_scores_gemma":[0.0006330372,0.000008471578,0.380261,0.00006676833,0.0000300622,0.000004738785,0.001307298,0.00003413278,6.618262e-7,0.0801392,0.5374534,0.00006120341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2947229,0.004503666,0.02697606,0.3260213,0.0009498731,0.0007010757,0.00004574163,0.00009725177,0.3459821],"genre_scores_gemma":[0.9877206,0.01103996,0.0001009056,0.000897378,0.0001698996,0.000006588254,0.000009054073,0.000003564295,0.0000520643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6929976,"threshold_uncertainty_score":0.2816152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408974873","doi":"10.59543/comdem.v2i.13795","title":"Ranking of AI-Based Criteria in Health Tourism Using Fuzzy SWARA Method","year":2025,"lang":"en","type":"article","venue":"Computer and decision making.","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Ranking (information retrieval); Tourism; Fuzzy logic; Computer science; Operations research; Artificial intelligence; Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03355597598833827,"gpt":0.369799354703958,"spread":0.3362433787156198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006795556,0.0001229598,0.0002976809,0.001162985,0.0001420871,0.0001178081,0.0001953371,0.0000895458,0.00002431939],"category_scores_gemma":[0.00004922335,0.0001178538,0.00004573054,0.001158025,0.00005106478,0.0002506812,0.0002618649,0.0001784834,0.000003436998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002105392,"about_ca_system_score_gemma":0.00004044093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001780547,"about_ca_topic_score_gemma":0.00003155753,"domain_scores_codex":[0.9989397,0.00001782924,0.0004932044,0.0002512708,0.000114295,0.0001837157],"domain_scores_gemma":[0.9992595,0.0001962099,0.0001715413,0.0002453573,0.0001226683,0.000004736487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007477388,0.0001194056,0.03037642,0.0003274757,0.00001951685,0.00001587855,0.00003706171,0.001634726,0.0001810884,0.1199743,0.009649944,0.8375894],"study_design_scores_gemma":[0.001668132,0.00002043683,0.04348126,0.001730135,0.00002148675,0.000003482297,0.00005014055,0.6456881,0.00005363572,0.2941221,0.01292768,0.0002334114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1550631,0.0001983996,0.8412481,0.002238618,0.0003501633,0.000134482,8.545684e-7,0.00005814939,0.0007081281],"genre_scores_gemma":[0.7611967,0.000002302025,0.2279093,0.0107651,0.0001081025,0.00000271596,0.000003250151,0.000007791651,0.000004691951],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.837356,"threshold_uncertainty_score":0.4805939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3006121652","doi":"10.1155/2020/2903525","title":"Integration of 5G Networks and Internet of Things for Future Smart City","year":2020,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Communications Research Centre Canada","funders":"","keywords":"Computer science; Internet of Things; Telecommunications; Computer security; The Internet; Internet privacy; Smart city; Computer network; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0290169485666666,"gpt":0.2549671924046851,"spread":0.2259502438380185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001937149,0.00008443848,0.0001842119,0.00008545735,0.0001593908,0.00003827173,0.0003028034,0.00007591495,0.000003030885],"category_scores_gemma":[0.00003188008,0.00008145827,0.00003157691,0.0003173438,0.0002054357,0.000235147,0.0003955646,0.0001663343,2.652283e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000364337,"about_ca_system_score_gemma":0.00000555401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195759,"about_ca_topic_score_gemma":0.00003499751,"domain_scores_codex":[0.9994405,0.000008923558,0.000303524,0.0001214316,0.00004040288,0.00008523151],"domain_scores_gemma":[0.9990957,0.0001109853,0.0002890991,0.0002888266,0.000208471,0.000006879336],"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":[0.00002597012,0.000135359,0.04532307,0.0003307397,0.00007239954,1.235224e-7,0.001769098,0.00007076666,0.003169651,0.5114956,0.0006807559,0.4369265],"study_design_scores_gemma":[0.0005087785,0.00005736125,0.00750891,0.0001822261,0.00006018918,0.000001191559,0.003146521,0.9716833,0.0003576668,0.001204838,0.01512208,0.0001669881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952613,0.0006798441,0.09893636,0.00378066,0.00005849925,0.0003584904,0.000002608268,0.00007797732,0.0008442569],"genre_scores_gemma":[0.9944302,0.0001389892,0.004503386,0.0007336045,0.00009052497,0.00002194947,0.00006721914,0.000009178933,0.000004918261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9716125,"threshold_uncertainty_score":0.3321772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114411697","doi":"10.5267/j.ijdns.2020.11.005","title":"The effect of PESTLE factors on development of e-commerce","year":2020,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Vietnamese; E-commerce; Business; Commerce; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.04608102769163899,"gpt":0.3039578807110254,"spread":0.2578768530193865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035943,0.00005071797,0.00009782102,0.00009671138,0.0001353573,0.00006096641,0.001322977,0.00001538858,0.000008546484],"category_scores_gemma":[0.0003108163,0.00002990699,0.00001611253,0.0004007799,0.0002818811,0.0006546138,0.0004253669,0.0001048591,0.000002340226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006534343,"about_ca_system_score_gemma":0.00003434606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006053353,"about_ca_topic_score_gemma":0.000007246925,"domain_scores_codex":[0.9991995,0.000004881595,0.0002826217,0.00008307885,0.0003501445,0.00007974775],"domain_scores_gemma":[0.999103,0.0001613119,0.0003927136,0.0001156535,0.000219087,0.000008220665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003068763,0.00007520353,0.7122818,0.00004261712,0.0002227696,0.000007341337,0.0002846151,0.0002509236,0.004510619,0.0465807,0.01992539,0.2155112],"study_design_scores_gemma":[0.002669949,0.0006138043,0.5598518,0.0007345412,0.0001512527,0.00002320165,0.001361108,0.01215887,0.02607298,0.002885558,0.393001,0.0004758876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930696,0.00005328019,0.0007135866,0.005107039,0.0003162666,0.00003456082,0.000002720554,0.000004254077,0.0006986712],"genre_scores_gemma":[0.9990121,0.00001582471,0.0003502443,0.0003773516,0.000232479,2.434304e-7,0.000006319415,0.000002150996,0.000003293244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730756,"threshold_uncertainty_score":0.2458443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389077320","doi":"10.23919/cnsm59352.2023","title":"2023 19th International Conference on Network and Service Management (CNSM)","year":2023,"lang":"en","type":"paratext","venue":"","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Computer science; Service (business); Telecommunications; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.05183374233625738,"gpt":0.27932455418589,"spread":0.2274908118496327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001789771,0.0003081427,0.0002659412,0.0006069124,0.0002109006,0.000370667,0.0005971707,0.000288595,0.01005264],"category_scores_gemma":[0.000009289715,0.0002893942,0.00004396587,0.001141714,0.00007001587,0.0002653478,0.0008362493,0.000431225,0.06842435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002550827,"about_ca_system_score_gemma":0.00001483477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006626639,"about_ca_topic_score_gemma":0.0007938365,"domain_scores_codex":[0.9986205,0.000004299386,0.0003197278,0.000478386,0.000250269,0.0003268845],"domain_scores_gemma":[0.9991305,0.00002949419,0.0002278956,0.0003671992,0.0002369197,0.000008008155],"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":[0.000006376401,0.00001967015,0.00005740245,0.0001221493,0.0001277408,0.000008129132,0.000001784673,0.00003725988,8.737542e-7,0.3341367,0.6620191,0.003462801],"study_design_scores_gemma":[0.0003015726,0.000005771118,0.0007100658,0.0002751129,0.0000612609,8.518851e-7,0.0002457872,0.001303194,8.011097e-7,0.006968042,0.9897887,0.0003388932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002807985,0.0000252146,0.0001924233,0.03880057,0.003773085,0.0003116091,0.00002228701,0.0002956706,0.9562984],"genre_scores_gemma":[0.007768622,0.001889385,0.0004646196,0.04265194,0.004970801,0.0002359538,0.003545363,0.0001210425,0.9383523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3277695,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3214802118","doi":"10.5539/ijef.v13n12p82","title":"The Effects of Cross-Border E-Commerce on International Trade and Economic Growth: A Case of China","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"China; International trade; Economics; Order (exchange); Trade barrier; Economic integration; International economics; Government (linguistics); Political science; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.008065243159826442,"gpt":0.2760810989841529,"spread":0.2680158558243265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629832,0.00007446937,0.0001503383,0.0001397544,0.00006463441,0.0001030326,0.0001897534,0.00004438937,0.00001181185],"category_scores_gemma":[0.0001424946,0.00006381698,0.00005619752,0.00004288433,0.0001741247,0.0003998184,0.00009797054,0.0001253886,9.711513e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213256,"about_ca_system_score_gemma":0.00002658658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000843594,"about_ca_topic_score_gemma":0.00009457453,"domain_scores_codex":[0.9993984,0.000003697549,0.0004032695,0.00009284253,0.00003652253,0.00006524668],"domain_scores_gemma":[0.9990612,0.0001465284,0.0005780447,0.00007934724,0.0001307363,0.000004195295],"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":[0.00007682168,0.00008757055,0.01676737,0.00002479556,0.0002105459,0.0001006469,0.00004766318,0.0002336701,0.0001038594,0.9534527,0.0004330667,0.02846126],"study_design_scores_gemma":[0.008496866,0.0002860393,0.511076,0.0006372441,0.0001622206,0.004556098,0.000589263,0.01851835,0.009758906,0.1564868,0.2887493,0.0006828298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842027,0.0002848713,0.0000221712,0.01251859,0.0009506663,0.00003307332,0.0000127795,0.000001888264,0.001973301],"genre_scores_gemma":[0.9965439,0.002551639,0.0001183193,0.0004711512,0.0002478109,0.000001560489,0.000003443942,0.000006549752,0.00005560975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7969659,"threshold_uncertainty_score":0.2602381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994154609","doi":"","title":"Proceedings of the 15th International Conference on Network and Service Management (CNSM 2019)","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Service (business); Library science; Political science; Business; Computer science; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.01917541734524513,"gpt":0.2219401410671612,"spread":0.2027647237219161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147105,0.0002129056,0.0002166787,0.0002084233,0.0002123168,0.0003456618,0.00142652,0.0001911076,0.0001023604],"category_scores_gemma":[0.0001339116,0.0001856261,0.00007280185,0.0005611097,0.0001798317,0.0002141068,0.002968215,0.0004942702,0.0000532309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003059958,"about_ca_system_score_gemma":0.0000357219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510884,"about_ca_topic_score_gemma":0.0004328554,"domain_scores_codex":[0.9986628,0.00006397982,0.0003485105,0.0004326281,0.0002968805,0.0001951654],"domain_scores_gemma":[0.99633,0.0001030059,0.0006558728,0.0007700165,0.002130829,0.00001022388],"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":[0.00000638899,0.0001260681,0.0124718,0.000253584,0.0000797582,2.515896e-7,0.0001988071,0.00003222392,0.0001280043,0.9713605,0.009533164,0.005809444],"study_design_scores_gemma":[0.002970794,0.000001113334,0.2425372,0.01755666,0.0005551162,0.000009917263,0.001981954,0.06821094,0.004534934,0.2548953,0.4047665,0.001979527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1997394,0.00007033979,0.00123202,0.1166983,0.0005918063,0.000725907,0.00001908861,0.0001751112,0.680748],"genre_scores_gemma":[0.9881498,0.0003191353,0.003390682,0.00197756,0.00008233089,0.00005589603,0.0001725382,0.00003067025,0.005821393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7884104,"threshold_uncertainty_score":0.7569613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382394992","doi":"10.18280/ts.400308","title":"Enhanced Disease Detection Using Contrast Limited Adaptive Histogram Equalization and Multi-Objective Cuckoo Search in Deep Learning","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Adaptive histogram equalization; Cuckoo search; Contrast (vision); Histogram equalization; Artificial intelligence; Computer science; Pattern recognition (psychology); Histogram; Equalization (audio); Deep learning; Machine learning; Algorithm; Image (mathematics); Particle swarm optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.04449538471448471,"gpt":0.2711944966449341,"spread":0.2266991119304494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720245,0.0001600765,0.0001574431,0.0009060747,0.0003358498,0.00009972514,0.00008534765,0.00008152999,0.00005805351],"category_scores_gemma":[0.0001009453,0.0001750672,0.00003544943,0.001699915,0.0001126003,0.0006025886,0.00008638459,0.0002452229,0.00003400205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009660989,"about_ca_system_score_gemma":0.00001553886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005341357,"about_ca_topic_score_gemma":0.0007016376,"domain_scores_codex":[0.9988737,0.00003680372,0.0002842327,0.0003064845,0.0001888308,0.0003099589],"domain_scores_gemma":[0.9995359,0.00006385307,0.0001277256,0.00008070929,0.0001753585,0.00001650731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00109077,0.001127696,0.2406651,0.0004341516,0.0003028059,0.0001072351,0.003343451,0.05905552,0.2748395,0.03805333,0.00005163922,0.3809288],"study_design_scores_gemma":[0.001761087,0.00004443388,0.1470767,0.0000824628,0.00006187081,5.968571e-7,0.003306949,0.8452325,0.001465623,0.000523786,0.0001672111,0.0002767663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722484,0.0000323625,0.1265215,0.0002142708,0.00006810881,0.0004292061,0.000002078842,0.0003176088,0.0001665302],"genre_scores_gemma":[0.9992124,0.0000107887,0.0002155538,0.0002122307,0.0001326233,0.00007107387,0.00008962992,0.00002589207,0.0000297553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.786177,"threshold_uncertainty_score":0.7139034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3013574729","doi":"10.18280/jesa.520110","title":"Cloud Intelligent Logistics Service Selection Based on Combinatorial Optimization Algorithm","year":2019,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Selection (genetic algorithm); Service (business); Distributed computing; Artificial intelligence; Business; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01941667062754593,"gpt":0.2412588000112577,"spread":0.2218421293837117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005053696,0.0002401864,0.0002712676,0.0006210874,0.0004372854,0.0004988885,0.0003489049,0.0001685646,0.0006106745],"category_scores_gemma":[0.0001986091,0.0002202998,0.00008508775,0.001465957,0.00006270954,0.0006590634,0.00008593562,0.0005022636,0.001033659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846939,"about_ca_system_score_gemma":0.0000605396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009063514,"about_ca_topic_score_gemma":0.0000127209,"domain_scores_codex":[0.9984387,0.00004514771,0.0005564137,0.0002365379,0.0004001316,0.0003230551],"domain_scores_gemma":[0.9983001,0.00008067357,0.0005716179,0.0002454032,0.0007814087,0.00002080347],"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":[0.0001520703,0.0009753625,0.02344457,0.00066891,0.0002460934,0.00007681721,0.00009423901,0.5412099,0.0002834418,0.1872591,0.02115898,0.2244305],"study_design_scores_gemma":[0.0008622396,0.0001279284,0.007981311,0.0002233078,0.00007361987,0.00004874479,0.000109216,0.9738943,0.00007793416,0.008561737,0.007755082,0.000284587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0974476,0.00006723633,0.8606145,0.005493155,0.01013728,0.0009590943,0.00001128523,0.001535668,0.0237342],"genre_scores_gemma":[0.9737087,0.00001837491,0.01893823,0.004487977,0.002383659,0.00001370995,0.00005847416,0.00008874133,0.0003020819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8762612,"threshold_uncertainty_score":0.9997442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3014489272","doi":"10.18280/ria.340113","title":"Prediction of Purchase Intention among E-Commerce Platform Users Based on Big Data Analysis","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Big data; E-commerce; Computer science; Business; World Wide Web; Data science; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.1640795866913699,"gpt":0.2749111908100767,"spread":0.1108316041187068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991245,0.0001630202,0.0002638585,0.0006809382,0.0001625449,0.00007385715,0.0007036082,0.0001177101,0.0002990903],"category_scores_gemma":[0.0004206397,0.0001642257,0.0001268428,0.003619013,0.0001953836,0.0006639183,0.0002415794,0.0002594366,0.0002463654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001946851,"about_ca_system_score_gemma":0.00001299924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755987,"about_ca_topic_score_gemma":0.0001254176,"domain_scores_codex":[0.9985372,0.00000808815,0.0005750809,0.0004583867,0.0002058462,0.0002153701],"domain_scores_gemma":[0.9984388,0.00006477908,0.0003345366,0.0009504032,0.0001926024,0.00001891539],"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":[0.0003129316,0.001378677,0.5821223,0.0007133858,0.0008629688,0.00002596086,0.000572117,0.1255677,0.006395167,0.06198347,0.01328646,0.2067789],"study_design_scores_gemma":[0.00008255234,0.00004626294,0.005323484,0.00006071554,0.0003283978,2.258259e-7,0.001462622,0.9824648,0.002770488,0.0004397393,0.006870904,0.0001497881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.469956,0.00002276911,0.5095057,0.01161192,0.0003862483,0.0004327525,0.00009447889,0.0003458008,0.007644321],"genre_scores_gemma":[0.9970055,0.00000802969,0.0002282425,0.00162808,0.0002317271,0.00001444669,0.0007877933,0.00001798835,0.00007816317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8568971,"threshold_uncertainty_score":0.6696928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394895954","doi":"10.5267/j.uscm.2024.2.001","title":"The adoption of business-to-consumer commerce for small and medium enterprises growth","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Small and medium-sized enterprises; Marketing; Small business; Commerce; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01940114986813465,"gpt":0.2421898424617446,"spread":0.22278869259361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006129161,0.0002019045,0.0001848662,0.0005640207,0.0003116865,0.0002613958,0.0003796907,0.00007006968,0.00002640264],"category_scores_gemma":[0.0001056257,0.0001539528,0.00006085553,0.001128894,0.0002002381,0.0002406733,0.0003466492,0.0001129032,0.00005009735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141314,"about_ca_system_score_gemma":0.00001159816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003106345,"about_ca_topic_score_gemma":0.0002075451,"domain_scores_codex":[0.9988082,0.000009546875,0.000360676,0.0003324655,0.0001707105,0.0003183919],"domain_scores_gemma":[0.9991154,0.0002117223,0.00009730533,0.0003170535,0.0002466808,0.00001180533],"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":[0.00008770455,0.00009729301,0.02220391,0.001848976,0.0003086411,0.00001276564,0.0001653151,0.00005487384,0.0001852276,0.8365473,0.08895253,0.04953543],"study_design_scores_gemma":[0.000745217,0.00003486298,0.04363519,0.0004596933,0.0002970055,0.000002361999,0.002936205,0.00272397,0.00006532939,0.03408396,0.9146196,0.0003966113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2611146,0.003860509,0.1705229,0.5189184,0.004463793,0.008702397,0.0001214496,0.001740564,0.0305554],"genre_scores_gemma":[0.9904634,0.0004113763,0.002261341,0.004206696,0.0003351915,0.0005520355,0.0001495358,0.00004707218,0.001573395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8256671,"threshold_uncertainty_score":0.6278012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405485071","doi":"10.1089/big.2023.0134","title":"Research on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care","year":2024,"lang":"en","type":"article","venue":"Big Data","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Internet of Things; Rehabilitation; Sports injury; Health care; Computer science; Physical medicine and rehabilitation; Medicine; Computer security; Physical therapy; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1679795262998454,"gpt":0.3850356926640602,"spread":0.2170561663642148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006757959,0.00008905718,0.00008697475,0.000869217,0.0002744852,0.0002829172,0.0002915026,0.00008095091,0.00000720861],"category_scores_gemma":[0.0002720647,0.0000834024,0.00002566696,0.00104515,0.00006076841,0.0006861601,0.0001510443,0.000229915,0.00007469372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000775065,"about_ca_system_score_gemma":0.00006993076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001564829,"about_ca_topic_score_gemma":0.0001628856,"domain_scores_codex":[0.9989173,0.000007251929,0.0001892401,0.0004048689,0.0002697854,0.0002115715],"domain_scores_gemma":[0.9988343,0.000172514,0.00004368861,0.0007635513,0.0001792528,0.000006710379],"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":[0.000111144,0.0001147828,0.0003401043,0.0006705867,0.000009015909,0.000002489639,0.00003966697,0.0001975496,0.00002758704,0.06380828,0.0761084,0.8585704],"study_design_scores_gemma":[0.0005721418,0.0005484096,0.002271188,0.0007383406,0.00002530802,5.695186e-7,0.002467709,0.2223455,0.0001052147,0.04158048,0.7289709,0.0003741495],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677777,0.0005717946,0.08080556,0.1937446,0.005534876,0.0060767,0.004178874,0.003480572,0.03782937],"genre_scores_gemma":[0.995306,0.000001582565,0.0002180788,0.001147839,0.0005930242,0.00007221413,0.002588903,0.0000239174,0.0000484447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8581963,"threshold_uncertainty_score":0.3401051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965700358","doi":"10.18280/isi.240206","title":"Spatial Data Mining and Big Data Analysis of Tourist Travel Behavior","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Tourism; Big data; Data science; Data mining; Travel behavior; Computer science; Geography; Transport engineering; Engineering; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.05170301978996044,"gpt":0.2606678335529969,"spread":0.2089648137630364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000825015,0.0002282893,0.0004777782,0.001414389,0.0002188278,0.0004264845,0.001026458,0.0002592017,0.0002803431],"category_scores_gemma":[0.0003693125,0.0002508958,0.00005094034,0.002357468,0.0003871012,0.01004851,0.001395909,0.0001731848,0.00008454736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875968,"about_ca_system_score_gemma":0.00006071986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180549,"about_ca_topic_score_gemma":0.001586574,"domain_scores_codex":[0.9981314,0.00001671047,0.000984852,0.0003025318,0.0002623305,0.0003021969],"domain_scores_gemma":[0.9969065,0.00007255974,0.0009264451,0.001684568,0.000394393,0.00001560271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001980823,0.00008808247,0.4231978,0.001138971,0.000721171,0.00000257389,0.0006301711,0.00002230723,0.00006996198,0.005917359,0.004479006,0.5637128],"study_design_scores_gemma":[0.001232647,0.0000579737,0.6955944,0.0006803692,0.006647156,0.00001473489,0.0103342,0.2203941,0.00007106276,0.0004156953,0.06380316,0.0007544099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688418,0.0009421735,0.01554198,0.00129485,0.001603468,0.0005979164,0.001722809,0.00009842117,0.009356581],"genre_scores_gemma":[0.9836074,0.00009063084,0.001595125,0.0003372408,0.0002507037,0.0000123788,0.01382042,0.00001514946,0.0002710133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5629584,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405179508","doi":"10.1109/tsmc.2024.3506653","title":"Collaborative Recommendation of National Image Resources for Targeted International Communication via Multidimensional Features and E-CARGO Modeling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nipissing University","funders":"Scientific Research Foundation of Hunan Provincial Education Department; National Natural Science Foundation of China","keywords":"Image (mathematics); Computer science; Business; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.01468252129554982,"gpt":0.2524825189025715,"spread":0.2377999976070216,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004667218,0.0001737902,0.000216841,0.0005751675,0.0002741384,0.000305393,0.0001205484,0.0001497661,0.00001057649],"category_scores_gemma":[0.00001640692,0.00016692,0.00004662101,0.000380419,0.0001215746,0.0004838066,0.000008144985,0.0001905051,0.000008538881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004922035,"about_ca_system_score_gemma":0.00002225084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005714966,"about_ca_topic_score_gemma":0.00009204622,"domain_scores_codex":[0.9988755,0.00003330782,0.0004694625,0.00027774,0.000214181,0.0001298184],"domain_scores_gemma":[0.9987991,0.0001724045,0.0001812196,0.0001398464,0.0006943123,0.00001311769],"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":[0.00075592,0.001163719,0.0006378667,0.006082369,0.003066571,0.00000735102,0.005353713,0.09739346,0.05168735,0.7709594,0.03736896,0.02552331],"study_design_scores_gemma":[0.0008415945,0.00004441557,0.0001250949,0.0005932258,0.0001023962,0.00002930113,0.0040904,0.9669324,0.0003692076,0.001162086,0.02540429,0.0003056598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2610507,0.003443867,0.7118825,0.006747974,0.00429587,0.002756986,0.0008187409,0.0006010418,0.008402407],"genre_scores_gemma":[0.9982151,0.00009250324,0.0006232167,0.0000897027,0.0001842261,0.000204633,0.0001549693,0.00002841828,0.0004071723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8695388,"threshold_uncertainty_score":0.68068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132242515","doi":"10.5539/ibr.v2n1p128","title":"Study of Reverse Logistics in the E-commerce Environment","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Reverse logistics; Business; Industrial organization; Integrated logistics support; Value (mathematics); E-commerce; Operations management; Marketing; Commerce; Computer science; Supply chain; Process management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1264757457223625,"gpt":0.3714078673076364,"spread":0.2449321215852739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106531,0.00008366731,0.0001075455,0.0007811752,0.0001148893,0.00008789443,0.0009274306,0.00005453321,0.0001789837],"category_scores_gemma":[0.000466451,0.0000637495,0.00001939333,0.001412385,0.0001708103,0.0003280203,0.000200585,0.000356862,0.0001630393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004378886,"about_ca_system_score_gemma":0.00001393322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009933686,"about_ca_topic_score_gemma":0.000172583,"domain_scores_codex":[0.9985811,0.0000301844,0.0002901063,0.0001809707,0.0007236385,0.0001940441],"domain_scores_gemma":[0.9989735,0.0001294633,0.00008827656,0.000336918,0.0004688639,0.000003001129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624212,0.008179763,0.5611517,0.00004680773,0.00007849054,0.0002445062,0.0007675985,0.001347085,0.00109147,0.368731,0.03813468,0.0200645],"study_design_scores_gemma":[0.0007216776,0.00003835777,0.9396904,0.0000276757,0.000007912228,0.000002808518,0.004773208,0.0002061679,0.00001299882,0.01480666,0.0396158,0.00009636241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010543,0.00001537722,0.0002795803,0.05843741,0.0001439319,0.0004541157,0.000002632577,0.00002731556,0.03958536],"genre_scores_gemma":[0.9981914,0.0000135697,0.00005460656,0.001252298,0.0002277924,0.0000317901,0.00002508009,0.000006102359,0.0001973291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3785387,"threshold_uncertainty_score":0.2599629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389323855","doi":"10.3386/w31925","title":"The Impact of AI and Cross-Border Data Regulation on International Trade in Digital Services: A Large Language Model","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; International trade; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.2751640459446141,"gpt":0.5686454106401247,"spread":0.2934813646955106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002744928,0.0001328038,0.0002229934,0.001204768,0.0001224763,0.0002730308,0.0007454869,0.0002298718,0.00006990258],"category_scores_gemma":[0.0007986713,0.0001072125,0.00006119716,0.0004226453,0.0002192906,0.001011309,0.0006293731,0.00053934,0.00002677863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925922,"about_ca_system_score_gemma":0.0005290923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949162,"about_ca_topic_score_gemma":0.001680058,"domain_scores_codex":[0.9981614,0.000007609721,0.0005645681,0.0003347112,0.000709,0.0002226606],"domain_scores_gemma":[0.998342,0.0003386918,0.0003484139,0.0004371456,0.0005268854,0.000006831028],"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":[0.0001733469,0.0003059779,0.07469885,0.00038384,0.0004934013,0.000004548123,0.00009270609,0.006973236,0.00006579792,0.8380244,0.07099506,0.00778888],"study_design_scores_gemma":[0.001452074,0.00003595215,0.1109771,0.0003839316,0.00001747727,0.000005798839,0.0003911149,0.4934207,0.00001166653,0.3773263,0.0156498,0.0003281171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4327809,0.0002750402,0.0000251824,0.01470626,0.0004932331,0.001127497,0.00312955,0.00009676582,0.5473655],"genre_scores_gemma":[0.9918125,0.0001109977,0.000008552192,0.00004536889,0.0003859189,0.00002530483,0.005801925,0.00002801035,0.001781369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5590316,"threshold_uncertainty_score":0.445827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298009668","doi":"10.18280/ts.390420","title":"Image Information Recognition and Classification of Warehoused Goods in Intelligent Logistics Based on Machine Vision Technology","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Linyi University","keywords":"sort; Computer science; Machine vision; Process (computing); Artificial intelligence; Image (mathematics); Architecture; Image processing; Industrial engineering; Engineering; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.03490903876256178,"gpt":0.2505125495636232,"spread":0.2156035108010614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004151899,0.0001053016,0.0001249041,0.001255996,0.0001398115,0.00003449629,0.000136627,0.00006397531,0.0003545785],"category_scores_gemma":[0.00005899934,0.0001093474,0.00002215189,0.0009651003,0.0001064951,0.0004166914,0.00009289095,0.0002268151,0.00002976541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006058541,"about_ca_system_score_gemma":0.00001315454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007672625,"about_ca_topic_score_gemma":0.00003688692,"domain_scores_codex":[0.9991106,0.00001438187,0.000419394,0.0001358182,0.0001924074,0.0001273641],"domain_scores_gemma":[0.9994605,0.00003694159,0.0002719967,0.0001337132,0.00009277423,0.00000411192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007796726,0.002817448,0.1003253,0.0006299883,0.00006276765,0.0000147851,0.0003231663,0.004422982,0.0297373,0.1514598,0.004315256,0.7051116],"study_design_scores_gemma":[0.005240133,0.0009037582,0.09938247,0.0001795175,0.0001190091,0.000005214176,0.003535664,0.8199002,0.00332027,0.03649345,0.03018718,0.0007331897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028698,0.00002167172,0.0765001,0.01447712,0.0001654174,0.0009783134,0.00009908239,0.0003429699,0.004545573],"genre_scores_gemma":[0.9974591,0.000003774174,0.0007706402,0.001007469,0.00002368818,0.0000996624,0.0006244718,0.000008802907,0.000002449905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8154771,"threshold_uncertainty_score":0.4459058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220971956","doi":"10.18280/jesa.550107","title":"Research on Agricultural Logistics Efficiency Based on DEA and Tobit Regression Models","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Northeast Agricultural University; National Natural Science Foundation of China","keywords":"Tobit model; Agriculture; Business; Agricultural economics; Index (typography); Agricultural productivity; Regression analysis; Consumption (sociology); Economics; Geography; Econometrics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06810553572996711,"gpt":0.3058230303052384,"spread":0.2377174945752713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001342516,0.0001953684,0.0002190779,0.0009801176,0.002423209,0.0004474409,0.0004636339,0.00007392051,0.0001854712],"category_scores_gemma":[0.0002728976,0.0001393377,0.00006535776,0.001514351,0.0002284231,0.0004340395,0.0003516695,0.001124105,0.00008677816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184576,"about_ca_system_score_gemma":0.00004314658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005922046,"about_ca_topic_score_gemma":0.000008693825,"domain_scores_codex":[0.9979286,0.0001336624,0.0004061125,0.0002744137,0.0008311166,0.0004261142],"domain_scores_gemma":[0.9988283,0.0002110879,0.0003042487,0.0002714409,0.0003601816,0.00002475739],"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":[0.0001749909,0.001136725,0.007003398,0.0003354479,0.00007037807,0.0006134763,0.0002173596,0.116972,0.001166972,0.6265845,0.119334,0.1263907],"study_design_scores_gemma":[0.002000565,0.0008427509,0.265106,0.0008884117,0.00008707132,0.0004098264,0.003766666,0.6348627,0.00009261064,0.07604395,0.0151071,0.0007923801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366812,0.000204816,0.002514387,0.006701502,0.0005219435,0.0003702185,0.00001190525,0.0003991367,0.05259492],"genre_scores_gemma":[0.9974287,0.00001469924,0.0004621464,0.001189412,0.0003016563,0.00002651219,0.00001591491,0.00002904646,0.0005318699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505406,"threshold_uncertainty_score":0.9988755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3095603805","doi":"10.18280/jesa.530406","title":"Multi-agent Modeling of the Collaborative Operation of the Producer Service Supply Chain under the Intelligent Manufacturing Clusters in the Yangtze River Delta","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Jiaxing University","keywords":"Service (business); Supply chain; Scope (computer science); Yangtze river; Production (economics); Computer science; Business; Manufacturing engineering; Process management; China; Engineering; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.03892076794595495,"gpt":0.2515401802728777,"spread":0.2126194123269228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007825579,0.0001753042,0.0002036544,0.0001129692,0.0005472162,0.0001514631,0.00103516,0.00006225041,0.00002825826],"category_scores_gemma":[0.0001598918,0.00007896202,0.00009592038,0.001221249,0.0001891786,0.0004536538,0.0003792504,0.0004828857,0.00001252581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006268902,"about_ca_system_score_gemma":0.00006542827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003822994,"about_ca_topic_score_gemma":0.0007513532,"domain_scores_codex":[0.9984232,0.0001857927,0.0006425643,0.0001655318,0.0003839232,0.0001989751],"domain_scores_gemma":[0.9985903,0.00007115668,0.0005898269,0.0003660858,0.0003746317,0.000007999859],"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":[0.00008963461,0.0004505487,0.03324024,0.0009540064,0.0005410623,0.00001536436,0.03734337,0.8733672,0.006133792,0.0187512,0.005323153,0.02379044],"study_design_scores_gemma":[0.0005781294,0.00001950202,0.2132558,0.0004085093,0.0001347485,0.00002488149,0.02110491,0.7602223,0.001910566,0.001418049,0.0007417002,0.0001809243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349617,0.0001904864,0.005072661,0.05848528,0.0002247949,0.0007711563,0.000006928834,0.00003375189,0.0002532856],"genre_scores_gemma":[0.9929786,0.00003365355,0.0003867135,0.006366636,0.0001638378,0.00001808888,0.000002955175,0.0000218569,0.00002760707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800156,"threshold_uncertainty_score":0.42088,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298009709","doi":"10.18280/ts.390407","title":"A Novel Detection Method Using YOLOv5 for Vehicle Target under Complex Situation","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Preprocessor; Histogram equalization; Brightness; Visibility; Convolution (computer science); Adaptive histogram equalization; Set (abstract data type); Image (mathematics); Object detection; Pattern recognition (psychology); Histogram; Data set; Contrast (vision); Artificial neural network","retraction":null,"screen_n_in":null,"score":{"opus":0.08399561364918205,"gpt":0.2958865058243789,"spread":0.2118908921751969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005772442,0.0001313865,0.0001401397,0.0003527681,0.0008691023,0.00008111378,0.0001758778,0.00004679498,0.001030391],"category_scores_gemma":[0.00001797389,0.0001473872,0.0000747885,0.0006769749,0.00003753243,0.0004163216,0.0001300003,0.0001511896,0.00001334831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015499,"about_ca_system_score_gemma":0.00001743285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003175857,"about_ca_topic_score_gemma":0.00006852117,"domain_scores_codex":[0.9989985,0.00001343134,0.0002883062,0.0002428269,0.0002184055,0.000238569],"domain_scores_gemma":[0.9994838,0.00005151503,0.0002051055,0.0001227013,0.0001308514,0.000006038921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001282776,0.0005691276,0.001566051,0.00007454579,0.0001399691,0.00000141506,0.0001127889,0.03305117,0.8099711,0.1346438,0.002523855,0.01721787],"study_design_scores_gemma":[0.002696181,0.00009189671,0.007508586,0.000008749464,0.0001691156,0.000008887871,0.001982727,0.9025003,0.00446599,0.02540167,0.05474879,0.0004170988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2124142,0.000006931414,0.7834575,0.002863666,0.0001646489,0.0004802038,0.00001996858,0.0001787286,0.0004141766],"genre_scores_gemma":[0.9721766,1.301085e-7,0.02311296,0.003880599,0.0003690893,0.0001993119,0.0001988453,0.00002530129,0.00003720414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8694491,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137872550","doi":"10.5539/ibr.v3n3p194","title":"Development Mode of Automotive Logistics and Optimizing Countermeasure of China’s Automotive Enterprises","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Automotive industry; Countermeasure; China; Business; Manufacturing engineering; Industrial organization; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05101390548749513,"gpt":0.3438016643557466,"spread":0.2927877588682514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005465717,0.0001276679,0.0001954104,0.0009693807,0.0001457033,0.00008970204,0.0005324982,0.0001212305,0.0001633389],"category_scores_gemma":[0.001442522,0.0001186445,0.00002747249,0.0007951507,0.0007005224,0.0005096779,0.0005250597,0.0004460952,0.00001832712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003560813,"about_ca_system_score_gemma":0.0001181981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000781867,"about_ca_topic_score_gemma":0.0002828498,"domain_scores_codex":[0.9985168,0.000009584751,0.0003830655,0.0002352335,0.0006349923,0.0002203364],"domain_scores_gemma":[0.994555,0.00009450485,0.000222875,0.0001989702,0.004919015,0.000009622421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004633197,0.002386343,0.4949306,0.00127179,0.0009585192,0.00007580455,0.002469142,0.001637444,0.1274035,0.3357562,0.006407488,0.02623984],"study_design_scores_gemma":[0.001244657,0.00002249599,0.9431429,0.0004589482,0.00003422308,0.00001610237,0.001331373,0.006641281,0.01878146,0.01161978,0.01631948,0.0003873053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718434,0.00001556167,0.005697549,0.004465219,0.0004644183,0.0002147117,0.00002473487,0.00006599032,0.01720838],"genre_scores_gemma":[0.9949566,0.00001407308,0.004514696,0.0001005479,0.0001672083,0.00002277685,0.00005871791,0.00001656638,0.0001488609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4482123,"threshold_uncertainty_score":0.4838181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127119288","doi":"10.5430/ijhe.v10n4p61","title":"Online Advertising Strategies to Effectivly Market a Business School","year":2021,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Advertising; Online advertising; Contextual advertising; Search advertising; Advertising campaign; Context (archaeology); Quality (philosophy); Product (mathematics); Advertising research; Search engine optimization; Business; Marketing; Digital marketing; Computer science; The Internet; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01154745655425247,"gpt":0.3043210625439484,"spread":0.2927736059896959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001529251,0.0001034499,0.000130598,0.0006069496,0.00006106899,0.0003529788,0.0003351947,0.00005989717,0.0013218],"category_scores_gemma":[0.0002745046,0.0000995634,0.00005732436,0.0007819152,0.00002787444,0.001527161,0.00009074896,0.0001935147,0.00008906481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082561,"about_ca_system_score_gemma":0.0003674565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163277,"about_ca_topic_score_gemma":0.00005154523,"domain_scores_codex":[0.9990786,0.00001116487,0.0003702044,0.0001239609,0.0003066503,0.0001094157],"domain_scores_gemma":[0.996335,0.00003776528,0.0003154386,0.0001253366,0.003170968,0.00001544066],"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":[0.0002633513,0.003466559,0.1449591,0.0001432641,0.0007162982,0.000186601,0.0001382145,0.000444985,0.02254895,0.2637019,0.4650713,0.09835961],"study_design_scores_gemma":[0.0003831915,0.000009387258,0.7211654,0.0002532504,0.00004610592,0.00007926994,0.0006086873,0.00001656449,0.0002450514,0.0138192,0.2632389,0.0001350123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8867685,0.0003088466,0.001426894,0.08193317,0.006704334,0.00008878429,0.000003514577,0.00004955556,0.02271645],"genre_scores_gemma":[0.9845216,0.00001337236,0.001866698,0.007762469,0.003552618,0.000006132442,0.00004450453,0.00001536002,0.0022172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5762063,"threshold_uncertainty_score":0.9995911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171354986","doi":"10.5539/ijef.v13n7p42","title":"Research on Logistics Cost Control of E-commerce Enterprise from the Perspective of Value Chain– A Case Study of Pinduoduo","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Competitor analysis; Business; Value (mathematics); Control (management); Value chain; Constraint (computer-aided design); Industrial organization; Service (business); Marketing; Supply chain; Chain (unit); Operations management; Computer science; Economics; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.06064706717860614,"gpt":0.326608796790481,"spread":0.2659617296118749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894715,0.00006230546,0.0002119837,0.0002027884,0.00005234077,0.00003118774,0.0002949286,0.00004062288,0.00001128869],"category_scores_gemma":[0.000271108,0.00005149123,0.00005107194,0.0001406431,0.0001796732,0.0001460692,0.0001162666,0.0002423263,9.309265e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003664179,"about_ca_system_score_gemma":0.00005005673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745843,"about_ca_topic_score_gemma":0.0005735984,"domain_scores_codex":[0.9992446,0.00002060496,0.0004617407,0.0001009223,0.0001024289,0.00006972755],"domain_scores_gemma":[0.9973095,0.0003504628,0.0006676927,0.0001473238,0.001521538,0.000003456316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003199469,0.001125691,0.03837171,0.000008121197,0.000494206,0.0002758144,0.000738044,0.004704316,0.0000925706,0.949025,0.000396683,0.004447843],"study_design_scores_gemma":[0.02829253,0.002300139,0.2316597,0.001444291,0.0006364784,0.001087268,0.2963783,0.07927341,0.002849406,0.3298201,0.02538833,0.0008700315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915124,0.0001704581,0.0003347005,0.006834453,0.0002231249,0.0000984074,0.00003945621,0.000001012428,0.0007860588],"genre_scores_gemma":[0.9990563,0.0003011003,0.00005562925,0.0003642703,0.0001995747,0.00000254262,0.000002151825,0.000005348478,0.00001308332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6192049,"threshold_uncertainty_score":0.2639204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3143722712","doi":"","title":"The Impact of Information Technology in Trade Facilitation on Small and Medium Enterprises in the Philippines","year":2009,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Trade facilitation; Facilitation; Value (mathematics); Business; Service (business); Service provider; Measure (data warehouse); Marketing; Economics; International trade; Management; Trade barrier; Computer science; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.01610991548574128,"gpt":0.2475252989915571,"spread":0.2314153835058158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008291015,0.0003003178,0.0003825327,0.001771201,0.0001708835,0.0001406775,0.0006433195,0.0004526031,0.00002540794],"category_scores_gemma":[0.0006140388,0.0002047862,0.0001108265,0.000739173,0.000573064,0.0005138183,0.0002067362,0.0009026261,0.00002470748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170965,"about_ca_system_score_gemma":0.0001111701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005914872,"about_ca_topic_score_gemma":0.001492058,"domain_scores_codex":[0.9984771,0.00003449418,0.0008101638,0.0002555116,0.0001351561,0.0002875605],"domain_scores_gemma":[0.9983301,0.0002599158,0.0007929891,0.0005257472,0.00008483425,0.000006437121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003728381,0.0001226203,0.9603275,0.0001013392,0.00004763243,0.000002863896,0.0004575202,0.0001316781,0.00003790352,0.02698732,0.001577049,0.01016928],"study_design_scores_gemma":[0.0006768561,0.00006107471,0.9453682,0.0002584411,0.00002844452,0.00000950905,0.002420871,0.0003456085,0.00003388037,0.04802541,0.002499779,0.000271932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744731,0.0003283042,0.00004629829,0.01931293,0.0003150092,0.0007143762,0.00002663082,0.00009405035,0.0046893],"genre_scores_gemma":[0.9988279,0.000152178,0.00007022885,0.0006154761,0.0001053689,0.0001248739,0.00008649316,0.000009369824,0.000008140951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02435477,"threshold_uncertainty_score":0.8350939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310803204","doi":"10.18280/ts.390547","title":"An Image Classification and Retrieval Algorithm for Product Display in E-Commerce Transactions","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China","keywords":"Computer science; Database transaction; Product (mathematics); Online transaction processing; Feature (linguistics); Correctness; Information retrieval; E-commerce; Purchasing; Image retrieval; Image (mathematics); Artificial intelligence; Data mining; Algorithm; Database; Transaction processing; Business; World Wide Web; Mathematics; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.02382049620895939,"gpt":0.2581112834749739,"spread":0.2342907872660145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005217452,0.0001258705,0.0001304306,0.000380476,0.0005055495,0.00009646673,0.0001917623,0.00003425254,0.0004215951],"category_scores_gemma":[0.000009882485,0.0001366923,0.00003572468,0.0006947275,0.00008743818,0.0007800478,0.00002722535,0.0002183756,0.000006090088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000479042,"about_ca_system_score_gemma":0.00001600028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059623,"about_ca_topic_score_gemma":0.00005964508,"domain_scores_codex":[0.9990081,0.00001582097,0.0002852922,0.0003114659,0.0001645088,0.0002147889],"domain_scores_gemma":[0.9996021,0.00003042608,0.0001100815,0.0001727979,0.00007611679,0.000008492294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003847564,0.00352016,0.02201215,0.0002434856,0.0001418783,0.0000160505,0.0007699789,0.0003110757,0.09385704,0.1308205,0.007310431,0.7406124],"study_design_scores_gemma":[0.007751775,0.000465395,0.2501893,0.00004165112,0.0003393818,0.00002667739,0.01013672,0.555908,0.002019474,0.01208167,0.1596538,0.001386082],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031805,0.00004858112,0.1726943,0.02073784,0.0002828703,0.00167222,0.0001166378,0.0003135762,0.0009535999],"genre_scores_gemma":[0.995187,0.000002980637,0.002840546,0.001042917,0.0002160634,0.0003134798,0.0002961944,0.00002167484,0.00007918866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7392264,"threshold_uncertainty_score":0.557415,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3003560793","doi":"10.5430/ijba.v11n1p22","title":"Analysis on the Innovative Business Model of Entrepreneurial Short Video Platform in China","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Vitality; China; Production (economics); Core (optical fiber); Computer science; Class (philosophy); Media industry; Field (mathematics); Content (measure theory); Multimedia; Business; Telecommunications; Economics; Public relations; Human–computer interaction; Political science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04213470239205732,"gpt":0.2722019075118761,"spread":0.2300672051198187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003384983,0.0001493543,0.0002895244,0.0009608517,0.00005227381,0.0001287016,0.0005880346,0.00008642099,0.00009402133],"category_scores_gemma":[0.0009612181,0.0001132269,0.00008407413,0.004858175,0.0001065278,0.001094516,0.00008840166,0.000265193,0.000006279107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050439,"about_ca_system_score_gemma":0.0001668522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005999953,"about_ca_topic_score_gemma":0.0001012679,"domain_scores_codex":[0.9983026,0.000008444953,0.0008676222,0.0001605703,0.0005484975,0.0001122479],"domain_scores_gemma":[0.9958211,0.00006654813,0.0008139402,0.0001384609,0.003151293,0.000008609861],"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":[0.002456052,0.001338747,0.3352388,0.00009759069,0.001899533,0.0001474309,0.0005370951,0.1409445,0.01252861,0.4884561,0.002528662,0.01382693],"study_design_scores_gemma":[0.002197504,0.0001128389,0.8306586,0.0002515051,0.000500073,0.00002195464,0.0006989308,0.1431791,0.005309557,0.01536461,0.00121573,0.0004896072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286812,0.000005036006,0.01400872,0.05492492,0.0003313494,0.000119125,0.0000127034,0.00001769794,0.00189924],"genre_scores_gemma":[0.9972911,0.00001065607,0.0001478739,0.001753169,0.000695421,0.000006000311,0.00007716746,0.00001078789,0.000007831718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4954198,"threshold_uncertainty_score":0.4617259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315618752","doi":"10.18280/isi.270615","title":"Evaluation Model and Influencing Factors of Consumer Satisfaction with E-Commerce Platform","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Boom; E-commerce; Consumer satisfaction; Competition (biology); Business; Quality (philosophy); Service quality; Service (business); Marketing; Computer science; Advertising; Engineering; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.03034785236727853,"gpt":0.2370499560261958,"spread":0.2067021036589173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006481092,0.0001288223,0.0001510017,0.0005885732,0.0005538925,0.00009935107,0.00009762702,0.00005728088,0.00007803037],"category_scores_gemma":[0.000130257,0.0001202225,0.00002257659,0.0006751432,0.0001485333,0.004812452,0.0001235445,0.0001757997,0.000007289299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722258,"about_ca_system_score_gemma":0.00006207787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300442,"about_ca_topic_score_gemma":0.0002211511,"domain_scores_codex":[0.9989085,0.000009751721,0.000409053,0.00009358595,0.0004274097,0.0001516743],"domain_scores_gemma":[0.9988356,0.00002831457,0.0004978642,0.0001620254,0.0004697184,0.000006542611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009713908,0.00005083025,0.6856027,0.0004996737,0.0001674888,4.751135e-7,0.004921077,0.04628586,0.0008113434,0.09712717,0.0008224942,0.1636137],"study_design_scores_gemma":[0.002255621,0.0001228664,0.464611,0.0001489696,0.0004151446,0.00002826241,0.03389998,0.4584707,0.000368863,0.03659751,0.002387959,0.0006931174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916101,0.0000303264,0.002455939,0.00009236011,0.00007094818,0.0003630432,0.00001208034,0.0001188993,0.005246277],"genre_scores_gemma":[0.9990013,0.000003933462,0.0003453254,0.000364298,0.00001517148,0.00009618201,0.0001581319,0.000009992776,0.00000564767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4121848,"threshold_uncertainty_score":0.4902531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2588880212","doi":"10.5430/jms.v8n1p55","title":"Analysis on the Influencing Factors of the Development of Chinese Fresh Cold Chain Logistics under E-Commerce Background","year":2017,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Cold chain; Business; Fresh food; Marketing; Commerce; E-commerce; Chain (unit); Industrial organization; Environmental economics; Food science; Economics; Computer science; Shelf life; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.0577797926205205,"gpt":0.2823215108468782,"spread":0.2245417182263577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006727996,0.0001403596,0.0002824076,0.0003722354,0.000492509,0.0001605506,0.0006961891,0.00005793637,0.00004537428],"category_scores_gemma":[0.00006185483,0.00007377043,0.0001209649,0.0004925249,0.000236202,0.0002992043,0.0002629049,0.000214547,0.000001443053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889878,"about_ca_system_score_gemma":0.0000179984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008077712,"about_ca_topic_score_gemma":0.000418024,"domain_scores_codex":[0.9988961,0.00001362597,0.0005692499,0.00009796843,0.0002877151,0.0001352889],"domain_scores_gemma":[0.9979897,0.00007349273,0.001339659,0.0004018799,0.000188028,0.000007254911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002204536,0.0001238303,0.7217225,0.0001014489,0.001256348,0.000003046917,0.0001193501,0.0008390518,0.000213436,0.2738519,0.0005137337,0.001233237],"study_design_scores_gemma":[0.0003227,0.00001799553,0.9885363,0.00006215511,0.0003782738,2.99911e-7,0.003768184,0.0002114929,0.0001204824,0.005671253,0.000817887,0.00009299346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868712,0.00002759638,0.0008793664,0.001892026,0.0001045739,0.0001177673,0.000001422906,0.000005388776,0.0101007],"genre_scores_gemma":[0.9992744,0.00001578359,0.0001196851,0.0003141967,0.00005910411,0.000001637541,0.000001557535,0.000006784473,0.0002068678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2681807,"threshold_uncertainty_score":0.3788031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405883355","doi":"10.46632/jame/3/2/2","title":"Multi-Criteria Decision-Making Analysis of Information and Communication Technology Using VIKOR","year":2024,"lang":"en","type":"article","venue":"REST Journal on Advances in Mechanical Engineering","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"VIKOR method; Computer science; Operations research; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0122328017422261,"gpt":0.3045756134816139,"spread":0.2923428117393878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004353854,0.0001001588,0.0002129262,0.003060875,0.00007303205,0.0001275653,0.0002043318,0.0001082466,0.00001808974],"category_scores_gemma":[0.0005487725,0.00009272352,0.00004848013,0.00294127,0.00003326643,0.001743075,0.00011997,0.0004368404,0.000003810081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005282634,"about_ca_system_score_gemma":0.000008221233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004119682,"about_ca_topic_score_gemma":0.00001812541,"domain_scores_codex":[0.9991612,0.000004795866,0.0004785792,0.0000957205,0.0001227541,0.0001369047],"domain_scores_gemma":[0.9994503,0.0001460427,0.0001463875,0.000164178,0.00008671566,0.000006377404],"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":[0.00003734309,0.00007329033,0.001744098,0.0002413244,0.0002181131,0.00002724854,0.00003760847,0.14583,0.007908419,0.5812528,0.000009968438,0.2626198],"study_design_scores_gemma":[0.0001807816,0.00001069257,0.0008641887,0.0009281207,0.0001064261,0.00001539433,0.0001103805,0.9823164,0.00008243766,0.01055431,0.004718239,0.0001126533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4931624,0.00253825,0.5030283,0.0006320227,0.0003227392,0.00009388631,0.000002275701,0.0001400518,0.00008014729],"genre_scores_gemma":[0.9443877,0.0004725055,0.05499407,0.00009260874,0.00003629768,0.000003727014,0.000003528562,0.00000911961,4.125604e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8364864,"threshold_uncertainty_score":0.3781155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406219084","doi":"10.18280/ts.410615","title":"A Personalized Product Recommendation System for E-Commerce Platforms Based on Artificial Intelligence and Image Processing Technologies","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Product (mathematics); Recommender system; Image processing; E-commerce; Artificial intelligence; Data science; Image (mathematics); World Wide Web; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04676983495532667,"gpt":0.2744775822339303,"spread":0.2277077472786036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005553978,0.000214851,0.000187382,0.0006166477,0.0003676887,0.0005039675,0.0001837805,0.00009212164,0.00008512724],"category_scores_gemma":[0.00007070044,0.0001799433,0.00005884312,0.0007354283,0.0001886609,0.0008159959,0.00005743301,0.0002065827,0.00004246215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006351984,"about_ca_system_score_gemma":0.00002857765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001699851,"about_ca_topic_score_gemma":0.00001079036,"domain_scores_codex":[0.9987673,0.000003820198,0.0003771143,0.000426589,0.0001549972,0.0002701793],"domain_scores_gemma":[0.9995168,0.00007890039,0.0001234275,0.0001358491,0.0001388791,0.000006178894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001315872,0.0001442081,0.0002714967,0.00157381,0.00003873206,0.000005627429,0.00008695266,0.000033105,0.002647829,0.3388696,0.00193728,0.6542598],"study_design_scores_gemma":[0.0008231531,0.0002313284,0.0003273708,0.001550601,0.0002929395,0.00001391383,0.01183668,0.8720761,0.01649919,0.0408707,0.05449437,0.0009836787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1771255,0.0003535128,0.7004316,0.104958,0.0008165971,0.003716205,0.00007247907,0.006526077,0.005999934],"genre_scores_gemma":[0.9959593,0.000002786085,0.002560604,0.0006019706,0.0003114848,0.0003500958,0.0001572356,0.000031067,0.00002543294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.872043,"threshold_uncertainty_score":0.7337875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2992295274","doi":"10.18280/jesa.520504","title":"Optimization of Drop-and-Pull Transport Network Based on Shared Freight Station and Hub-and-Spoke Network","year":2019,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Spoke-hub distribution paradigm; Drop (telecommunication); Transport engineering; Operations research; Computer science; Business; Computer network; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01321891654668895,"gpt":0.216770836754313,"spread":0.203551920207624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517615,0.0001975204,0.0003285821,0.0003065082,0.0003192232,0.0001773519,0.0001319641,0.0001175743,0.0002154199],"category_scores_gemma":[0.0000510546,0.0001744013,0.00004805248,0.0006223122,0.0001231592,0.0007594986,0.00004411683,0.0002527228,0.00001586614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002358267,"about_ca_system_score_gemma":0.0000227867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005892211,"about_ca_topic_score_gemma":0.00003706101,"domain_scores_codex":[0.9987069,0.00003292402,0.0005459362,0.0002165945,0.000229983,0.0002676457],"domain_scores_gemma":[0.9989479,0.00008597135,0.0005603523,0.0001722615,0.000211772,0.00002181285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349845,0.0001226317,0.651491,0.0008315275,0.0001783949,0.00003907035,0.0001742762,0.2316587,0.0001529224,0.05844526,0.005053099,0.0517182],"study_design_scores_gemma":[0.0008265835,0.00007223507,0.6298661,0.0005247305,0.00009737923,0.00002715587,0.00005533628,0.3624263,0.000004538581,0.00469856,0.001209894,0.0001911042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542983,0.0005698465,0.03658038,0.001749605,0.0004476176,0.0005260725,0.00001220577,0.0002579971,0.005557991],"genre_scores_gemma":[0.9906724,0.0001193423,0.007809105,0.0008268701,0.0003403885,0.000006607532,0.00005495301,0.00003856858,0.0001317427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307677,"threshold_uncertainty_score":0.7111878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1591842704","doi":"","title":"Analysis of Small and Medium-Sized Enterprises’ E-Commerce Development Status in China in the New Economy Era","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"China; Business; E-commerce; Small and medium-sized enterprises; Sustainable development; Globalization; Economic system; Information economy; Process (computing); Space (punctuation); Point (geometry); National economy; Digital economy; Industrial organization; Economy; Commerce; Market economy; Economics; Political science; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03366195803164786,"gpt":0.2991657916072801,"spread":0.2655038335756322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006420261,0.000119082,0.0002284226,0.0004343949,0.000136371,0.0002526566,0.0005948429,0.00008150543,0.00001923175],"category_scores_gemma":[0.0001928956,0.0000880584,0.00003648817,0.00149166,0.0002313872,0.0009017302,0.0002995161,0.0002669733,0.00000936693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006294271,"about_ca_system_score_gemma":0.00005359534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685623,"about_ca_topic_score_gemma":0.01266687,"domain_scores_codex":[0.9991126,0.00003129921,0.0004587174,0.0001421654,0.00008434785,0.0001708932],"domain_scores_gemma":[0.998984,0.00006889009,0.0002515703,0.0004943609,0.0001908561,0.00001027912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003559011,0.00009622906,0.9767705,0.00001776384,0.00008488929,4.843415e-7,0.003117562,0.00008394314,0.00006005094,0.009858489,0.0006547097,0.009219841],"study_design_scores_gemma":[0.000871369,0.000005372248,0.9578629,0.00002513367,0.00006270113,4.827095e-7,0.00254992,0.0006316322,0.00003620372,0.002052193,0.03578417,0.0001179244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807979,0.0002246761,0.00004526253,0.009360344,0.00002058816,0.0001965335,0.00000114299,0.00003461551,0.00931894],"genre_scores_gemma":[0.9977388,0.00004725021,0.0008714054,0.0009294089,0.00001861015,0.00003396074,0.0003027798,0.000005707864,0.00005203739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03512946,"threshold_uncertainty_score":0.7068412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3144998435","doi":"10.18280/ria.350103","title":"Segmentation of Tourist Interest on Tourism Object Categories by Comparing PSO K-Means and DBSCAN Method","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Tourism; Segmentation; Object (grammar); DBSCAN; Computer science; Computer vision; Artificial intelligence; Region of interest; Information retrieval; Pattern recognition (psychology); Geography; Cluster analysis; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.05273691915070565,"gpt":0.2950528801780272,"spread":0.2423159610273215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525139,0.0001407969,0.0002259578,0.0001928722,0.000180128,0.0001090477,0.0001662784,0.00007725084,0.0001742995],"category_scores_gemma":[0.0001304823,0.0001466209,0.00004771474,0.0006827186,0.000135863,0.0002848582,0.000132903,0.0001917918,0.00007473357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002099928,"about_ca_system_score_gemma":0.00001304868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004677645,"about_ca_topic_score_gemma":0.0003540776,"domain_scores_codex":[0.9990202,0.00001665301,0.0003962095,0.0002870649,0.00009197122,0.0001878701],"domain_scores_gemma":[0.9992176,0.000102036,0.0001988729,0.0002869844,0.0001847353,0.000009780182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008027639,0.0009585529,0.04105056,0.0007223386,0.0002079217,0.00006675203,0.001525903,0.004166871,0.1641538,0.5980511,0.04157495,0.147441],"study_design_scores_gemma":[0.0002041243,0.0000759536,0.001020446,0.000303756,0.0001110263,0.00002122465,0.01631233,0.07727813,0.8551164,0.01971364,0.02930766,0.0005353607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8349808,0.0003087966,0.1369895,0.0069966,0.000386788,0.000249165,0.00001042913,0.0001534275,0.01992453],"genre_scores_gemma":[0.9967049,0.00003894835,0.001691372,0.0005228346,0.0001219396,0.00001355541,0.00008246846,0.00001667794,0.0008072447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909626,"threshold_uncertainty_score":0.5979028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401990730","doi":"10.1109/tce.2024.3386369","title":"Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Consumer Electronics","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Special section; Electronics; Section (typography); Engineering; Computer science; Electrical engineering; Artificial intelligence; Engineering physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0125620912982965,"gpt":0.2467097773065716,"spread":0.2341476860082751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003690793,0.0007422515,0.000603545,0.0009187747,0.0008883314,0.0002851286,0.0007850562,0.001327296,0.0001078148],"category_scores_gemma":[0.00006552774,0.000597972,0.0003154231,0.002293287,0.0006303337,0.0002757709,0.00001330833,0.005020202,0.0005025006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005835857,"about_ca_system_score_gemma":0.001086589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529192,"about_ca_topic_score_gemma":0.004610767,"domain_scores_codex":[0.9962245,0.00005351934,0.000839225,0.0009668351,0.001178811,0.0007370862],"domain_scores_gemma":[0.9969298,0.0005370453,0.0006093898,0.001017335,0.0008820312,0.00002445024],"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":[0.000509272,0.0007140925,0.000001762073,0.000120619,0.0006245486,0.000002286349,0.00003467529,0.0008643392,0.0003549317,0.04468369,0.9431874,0.008902428],"study_design_scores_gemma":[0.0002981958,0.0003441318,4.566093e-7,0.0001913822,0.0008404907,0.000002303992,0.00007062627,0.0001579267,0.01103894,0.004448601,0.9820162,0.0005907168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004510562,0.0002460451,0.01729065,0.001705224,0.9759293,0.001589182,0.0003199462,0.0003777451,0.002090853],"genre_scores_gemma":[0.0176374,0.0004931415,0.00004675685,0.0003082967,0.9798278,0.0006535181,0.0002270523,0.0001712158,0.0006348121],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04023509,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2476717803","doi":"10.12928/telkomnika.v14i2a.4375","title":"O2O E-Commerce Data Mining in Big Data Era","year":2016,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Air Canada","funders":"","keywords":"Big data; Computer science; Data mining; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.05821511814293429,"gpt":0.2733290228157315,"spread":0.2151139046727972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001676277,0.0002628873,0.0003695809,0.0004544258,0.0004375234,0.0002223613,0.003351053,0.0001628105,0.00002157773],"category_scores_gemma":[0.000449745,0.0002237467,0.00002768942,0.0008663451,0.0001868588,0.001078787,0.002727706,0.0005018149,0.00004836305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006004087,"about_ca_system_score_gemma":0.0000852694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004351696,"about_ca_topic_score_gemma":0.002046277,"domain_scores_codex":[0.9978439,0.00005845609,0.0006427792,0.0006682189,0.0001798343,0.0006068756],"domain_scores_gemma":[0.9951858,0.0005304237,0.0004072181,0.003709512,0.000150127,0.00001690883],"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":[0.00003793215,0.0001738441,0.02696268,0.0000269833,0.00008167482,0.000002271765,0.00003171171,0.000007396396,0.001753344,0.06436915,0.004980555,0.9015725],"study_design_scores_gemma":[0.009303632,0.00008442919,0.05568531,0.0005258897,0.0002025648,0.00003474153,0.0004666272,0.2080575,0.00009488145,0.01369309,0.7103707,0.00148066],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7870817,0.006285785,0.05034595,0.1448731,0.0004475808,0.001063041,0.00007123571,0.001092121,0.008739557],"genre_scores_gemma":[0.9928713,0.0004574088,0.001650175,0.004052049,0.0004104256,0.00001154538,0.0004478606,0.00004157402,0.0000576654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9000918,"threshold_uncertainty_score":0.9124125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281864394","doi":"10.1155/2022/3592859","title":"Dual-Source Procurement Strategy of Cross-Border E-Commerce Supply Chain considering Members’ Risk Attitude","year":2022,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":4,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Ministry of Public Security of the People's Republic of China; Jilin Office of Philosophy and Social Science; Science and Technology Commission of Shanghai Municipality","keywords":"Risk aversion (psychology); Supply chain; Business; Profit (economics); Marketing; Risk perception; Risk management; Preference; Microeconomics; Variance (accounting); Expected utility hypothesis; Actuarial science; Economics; Finance; Financial economics; Perception","retraction":{"nature":"Retraction","openalex_flagged":true},"screen_n_in":null,"score":{"opus":0.01729203697385089,"gpt":0.2924000547691378,"spread":0.2751080177952869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008714508,0.0001634785,0.0002237028,0.0001758288,0.001178581,0.0001424773,0.0003850292,0.0001017456,0.000633842],"category_scores_gemma":[0.00005362288,0.0001853464,0.00005272983,0.0006833196,0.000369737,0.0004390586,0.001086436,0.0007867645,0.000004186942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002565096,"about_ca_system_score_gemma":0.00001822359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485797,"about_ca_topic_score_gemma":0.0009834074,"domain_scores_codex":[0.9988322,0.00007437975,0.0004331619,0.0002244869,0.0001964354,0.0002393009],"domain_scores_gemma":[0.9985075,0.0001176864,0.0004643023,0.0007060755,0.0001930726,0.00001137722],"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":[0.0001246772,0.0009586982,0.3726804,0.0002424244,0.0003497915,0.000004023047,0.002225192,0.04533593,0.00007781476,0.5307634,0.009050715,0.03818701],"study_design_scores_gemma":[0.003601484,0.0001193058,0.09112261,0.0001794891,0.0003164154,0.00003593045,0.01591343,0.1709787,0.00006783121,0.04189046,0.6745093,0.001265057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783398,0.002633693,0.0005810714,0.004580515,0.000105212,0.0005174158,0.00001390956,0.0002307899,0.01299762],"genre_scores_gemma":[0.9976451,0.0003867942,0.0001454525,0.001300183,0.00007669978,0.000123079,0.0001686867,0.00002094347,0.0001330013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6654586,"threshold_uncertainty_score":0.9064808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293223890","doi":"10.11159/mhci22.113","title":"A Smart Fitness Application for Pregnancy that Recommends Workout Plans based on Health Conditions","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Pregnancy","retraction":null,"screen_n_in":null,"score":{"opus":0.01414539453375046,"gpt":0.2262000072936373,"spread":0.2120546127598869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004251545,0.000100476,0.0001632014,0.0004303945,0.0006376336,0.0001316652,0.0003202055,0.00001901109,6.79101e-7],"category_scores_gemma":[0.00002141823,0.00007995542,0.00002877629,0.001262589,0.00009130895,0.0001586846,0.0001146074,0.0001804994,2.041459e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003380184,"about_ca_system_score_gemma":0.00002013366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003026856,"about_ca_topic_score_gemma":0.000003060773,"domain_scores_codex":[0.9991614,0.000002195682,0.000189635,0.0002545611,0.0001873337,0.0002049098],"domain_scores_gemma":[0.9995297,0.00007470053,0.0001890549,0.00009670919,0.00009446921,0.00001538538],"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":[0.00002583206,0.0001695746,0.0307064,0.0003959433,0.00002094534,2.214253e-7,0.00002576511,0.004194724,0.0002021058,0.9255551,0.008354551,0.03034883],"study_design_scores_gemma":[0.0003786611,0.0001019179,0.00627339,0.0003082589,0.000009582719,0.000003280238,0.00002688266,0.973505,0.00007060479,0.0003219588,0.01886448,0.0001359633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273813,0.001015569,0.04802236,0.09617542,0.01115276,0.008519601,0.0001285265,0.001553633,0.006050844],"genre_scores_gemma":[0.9986035,0.000002957822,0.0001260173,0.000781914,0.000093445,0.0002721828,0.000002996396,0.000008010884,0.0001089953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9693103,"threshold_uncertainty_score":0.4904226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4251733703","doi":"10.33423/jabe.v22i4.2907","title":"Cultural Implications for Cross-border E-commerce: The Case of China’s Belt and Road","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"China; The Internet; Distribution (mathematics); Politics; Frame (networking); Goods and services; Business; E-commerce; Political science; Marketing; Economy; Economics; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02363054365074146,"gpt":0.2968657059749042,"spread":0.2732351623241627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543952,0.0001003853,0.0002221601,0.0000802569,0.000264393,0.0001638856,0.0001263569,0.00006581039,0.00001313408],"category_scores_gemma":[0.00003915163,0.00007083957,0.00003941122,0.000223361,0.0001851342,0.0004662068,0.00009767537,0.0001232567,0.000001026647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006432871,"about_ca_system_score_gemma":0.00001618089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007741,"about_ca_topic_score_gemma":0.00004724067,"domain_scores_codex":[0.9993864,8.955281e-7,0.0003895304,0.0001025752,0.00001603012,0.0001045826],"domain_scores_gemma":[0.9991031,0.00002645923,0.0005008263,0.0001001586,0.0002583443,0.00001109928],"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":[0.0002721989,0.0001291435,0.0253621,0.0004005121,0.0002548539,0.000006472291,0.0004995986,0.0007295363,0.001446431,0.813177,0.005402819,0.1523193],"study_design_scores_gemma":[0.004210177,0.00005608589,0.8111813,0.0000388472,0.000444641,0.0006461621,0.004435546,0.004323368,0.0001361792,0.04686624,0.1271096,0.0005518695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548072,0.00008117354,0.0004154178,0.04306483,0.00006317979,0.0001524578,0.00001143589,0.000009540201,0.001394793],"genre_scores_gemma":[0.9966099,0.0001290935,0.0004409058,0.00237862,0.0004016138,0.0000100342,0.000009927059,0.00001151223,0.000008453108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7858192,"threshold_uncertainty_score":0.2888754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108749028","doi":"10.18280/jesa.530516","title":"Three-Dimensional Image Recognition of Athletes' Wrong Motions Based on Edge Detection","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Feature (linguistics); Edge detection; Enhanced Data Rates for GSM Evolution; Motion (physics); Image (mathematics); Tracking (education); Pattern recognition (psychology); Image processing","retraction":null,"screen_n_in":null,"score":{"opus":0.03337795280360095,"gpt":0.2373554862019323,"spread":0.2039775333983314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000336915,0.0002000286,0.0002617276,0.000519931,0.0004741375,0.0001771761,0.0002318756,0.0001092703,0.0003781549],"category_scores_gemma":[0.0005698632,0.0001844351,0.0001511543,0.001085268,0.0001704633,0.0008948772,0.00007773854,0.0004427963,0.000536385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005796523,"about_ca_system_score_gemma":0.00003678692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006017109,"about_ca_topic_score_gemma":0.00005032679,"domain_scores_codex":[0.9985698,0.0000301869,0.000595608,0.0002166445,0.0003419117,0.0002458504],"domain_scores_gemma":[0.9985625,0.00007189438,0.0006156091,0.0001828965,0.0005393886,0.00002777493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000135162,0.0006582701,0.01050237,0.0008217019,0.0002377672,0.0001598027,0.00009055484,0.001624629,0.06916103,0.007239689,0.0218002,0.8875688],"study_design_scores_gemma":[0.0024294,0.0004172008,0.533187,0.001190385,0.000336114,0.0001286834,0.0001947806,0.4185102,0.004507883,0.03610709,0.002252538,0.0007386988],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140963,0.00007941674,0.06862054,0.008200907,0.0005585823,0.0003916516,0.00002524188,0.0006929885,0.007334371],"genre_scores_gemma":[0.9930365,0.000003704458,0.004207964,0.002040947,0.0006100598,0.00001182281,0.00003106498,0.00004281283,0.00001511372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8868302,"threshold_uncertainty_score":0.7521046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809906166","doi":"10.26549/jfr.v1i1.378","title":"Study on the Influence of Network Economy on International Economy and Trade","year":2017,"lang":"en","type":"article","venue":"Journal of Finance Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Information economy; Digital economy; Network economy; Economy; Service economy; Post-industrial economy; World economy; Chinese economy; National economy; Economics; Planned economy; New economy; Structural change; Knowledge economy; International trade; Business; China; Economic system; Market economy; Political science; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.1384366777997863,"gpt":0.3776528631154163,"spread":0.23921618531563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001707023,0.00005500968,0.0001233766,0.0002449649,0.0004080679,0.0002038178,0.0007252719,0.00003468328,0.00002410539],"category_scores_gemma":[0.0003157413,0.00003771975,0.00002980541,0.0001363904,0.0002595074,0.0005547719,0.0001571906,0.000490035,0.00001486667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002022938,"about_ca_system_score_gemma":0.00002944653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002630817,"about_ca_topic_score_gemma":0.00001719052,"domain_scores_codex":[0.9993567,0.00001388816,0.0002464502,0.00008793607,0.0001521649,0.000142793],"domain_scores_gemma":[0.9989162,0.0001643917,0.0004239607,0.0002747381,0.0002166762,0.000004045569],"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":[0.00008809439,0.00032177,0.359333,0.0000143514,0.000080034,0.00003413135,0.00006666702,0.00006370476,0.00002334313,0.5904333,0.03358087,0.01596074],"study_design_scores_gemma":[0.0007544336,0.0002434552,0.786815,0.0001878875,0.000009272811,0.000006848858,0.0008647378,0.0002036694,0.0001206883,0.05903086,0.1516812,0.00008188723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87672,0.00002430665,0.000008428367,0.06930686,0.0001144157,0.0001268078,4.05183e-7,0.000002532635,0.0536963],"genre_scores_gemma":[0.9987513,0.00003784986,0.00002591549,0.0005125293,0.000570763,0.000006994339,2.17824e-7,0.000004708289,0.0000896796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5314025,"threshold_uncertainty_score":0.313857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380090656","doi":"10.23977/jaip.2023.060402","title":"Research on the Application of Computer Artificial Intelligence Recognition Technology","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Field (mathematics); Computer science; Authentication (law); Attendance; Identity (music); Artificial intelligence; Computer security; Data science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.2267532541073405,"gpt":0.4155275604561471,"spread":0.1887743063488066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005213052,0.0001305435,0.00021425,0.00205095,0.0003909896,0.0001557849,0.0007232973,0.0001932602,0.00009639084],"category_scores_gemma":[0.003534587,0.0001008414,0.0000862463,0.006255758,0.0005614241,0.000993621,0.0001978385,0.001156565,0.002122689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215272,"about_ca_system_score_gemma":0.00005957435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257308,"about_ca_topic_score_gemma":0.00005382955,"domain_scores_codex":[0.997757,0.00008402636,0.00103951,0.000213792,0.0006001193,0.0003055979],"domain_scores_gemma":[0.9940444,0.00167957,0.001100748,0.0003686211,0.002795249,0.00001136021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001167922,0.0002304666,0.00004287445,0.00001438568,0.00003228824,0.00001216451,0.0000666491,0.0005496213,0.001850652,0.5632405,0.001187408,0.4326562],"study_design_scores_gemma":[0.00001872155,0.0002413665,0.00007222033,0.0001255807,0.00007229937,0.00003467609,0.02028413,0.02477665,0.05014757,0.8864135,0.01763964,0.0001737194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3740282,0.00004788378,0.3635859,0.2540762,0.00139827,0.0007756685,0.000004839082,0.0002330521,0.005850009],"genre_scores_gemma":[0.9950097,0.00006449995,0.002788657,0.0010774,0.0009989887,0.00002495915,0.000006394343,0.00001887593,0.00001052217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6209815,"threshold_uncertainty_score":0.9986542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386796786","doi":"10.23977/jeis.2023.080308","title":"Emergency Routing and Structural Optimization of E-commerce Logistics Network for Parcel Transportation Based on Multiple Models","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"TOPSIS; Workload; Computer science; Ideal solution; Operations research; Transport network; Ant colony optimization algorithms; Table (database); Transport engineering; Data mining; Engineering; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02447944624793131,"gpt":0.2587667110203562,"spread":0.2342872647724249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000739847,0.00005953398,0.00009779797,0.0004048957,0.000258606,0.00006258245,0.0001121654,0.00003567119,0.000002808992],"category_scores_gemma":[0.0002405812,0.00005083733,0.00002288828,0.00104181,0.00008499479,0.003324497,0.00001074353,0.00009233582,2.783019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433135,"about_ca_system_score_gemma":0.00004878318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000941398,"about_ca_topic_score_gemma":0.000007868854,"domain_scores_codex":[0.999172,0.000002012588,0.0004326118,0.00005179454,0.0001833171,0.0001582213],"domain_scores_gemma":[0.9987515,0.00005494626,0.0005730087,0.00005608063,0.000556448,0.000008031766],"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":[0.00003083307,0.000004992597,0.008641751,0.00003777268,0.000003492333,5.117722e-8,0.00006610337,0.7941998,0.00008086127,0.1941625,0.0002001463,0.002571685],"study_design_scores_gemma":[0.0003364303,0.0000596289,0.01641645,0.00002040951,0.0000141756,4.494923e-7,0.0001643978,0.9744273,0.00002902883,0.008110429,0.0003672857,0.00005402744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6198759,0.00002609269,0.3779824,0.001421185,0.0001624377,0.0001608539,0.000005022666,0.00002273605,0.0003434262],"genre_scores_gemma":[0.9972406,0.0001132735,0.002256024,0.000304506,0.00004854065,0.000002167665,0.00003028025,0.000002879292,0.000001727101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3773647,"threshold_uncertainty_score":0.241018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024150585","doi":"10.18280/rces.070103","title":"Research on Comprehensive Competitive Evaluation of P2P Network Lending Platforms Based on BP Neural Network Model","year":2020,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Business; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1911827988979943,"gpt":0.370669596703608,"spread":0.1794867978056137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009756804,0.0001899639,0.0005595127,0.0001994483,0.000125678,0.00001557322,0.0002442709,0.00004635455,0.000007562057],"category_scores_gemma":[0.000141967,0.0001623682,0.0001003783,0.001298695,0.00008996745,0.0001557586,0.0002264932,0.0003246446,0.00001218553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003776677,"about_ca_system_score_gemma":0.00001693541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002588661,"about_ca_topic_score_gemma":8.394546e-7,"domain_scores_codex":[0.9984702,0.0000217245,0.0004585902,0.0002288096,0.0005480982,0.0002725938],"domain_scores_gemma":[0.9981352,0.00035284,0.0002157741,0.0002287523,0.001058663,0.00000873663],"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":[0.000009102722,0.00002328867,0.0002004706,0.003524558,0.000102525,9.451864e-7,0.00001925517,0.8984756,0.000004244061,0.08478559,0.008968825,0.003885563],"study_design_scores_gemma":[0.0003136899,0.00007281615,0.0009683142,0.008926468,0.00009083529,1.817922e-7,0.00004583595,0.9856995,0.000008766062,0.0005658413,0.003170309,0.0001373881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3952541,0.2623487,0.2250345,0.07776174,0.005341629,0.01235625,0.00004996957,0.002307151,0.01954591],"genre_scores_gemma":[0.9881665,0.00190287,0.003617649,0.005223922,0.0009723432,0.00005746813,0.00003067623,0.00002711792,0.000001524345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5929123,"threshold_uncertainty_score":0.6621183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310992496","doi":"10.1155/2022/9782608","title":"Retracted: Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Intelligent transportation system; Artificial intelligence; Artificial neural network; Algorithm; Machine learning; Transport engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01774159883688862,"gpt":0.2570604838771031,"spread":0.2393188850402145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005151015,0.0001425321,0.0002286119,0.0004385984,0.0008916497,0.0000557137,0.0001611309,0.00007042827,0.00002427537],"category_scores_gemma":[0.00001469573,0.0001584791,0.0001615176,0.0009451343,0.00005129571,0.0008813135,0.000003119576,0.0004803078,6.461661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549581,"about_ca_system_score_gemma":0.00008032313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008564218,"about_ca_topic_score_gemma":0.00007269083,"domain_scores_codex":[0.9983289,0.00001891406,0.0008199249,0.0001706419,0.0004468829,0.0002147121],"domain_scores_gemma":[0.9980788,0.00006801332,0.00112294,0.0000944621,0.0006228723,0.00001297039],"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":[0.0003191962,0.0001339854,0.0022726,0.00005627393,0.00003873704,0.00001177354,0.00004750309,0.9781637,0.004851105,0.002437668,0.00013543,0.01153199],"study_design_scores_gemma":[0.003576381,0.0005105794,0.07235159,0.000104175,0.0004336771,0.00002145153,0.00350122,0.8929026,0.0005820954,0.004674456,0.02087696,0.0004647998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6769398,0.0001593995,0.3200265,0.000513532,0.001858181,0.0003815264,0.00006244574,0.00005453325,0.000004058755],"genre_scores_gemma":[0.9922144,0.000002391248,0.006122875,0.0004018719,0.0006784247,0.00006927676,0.0004743829,0.00002922525,0.000007156127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152746,"threshold_uncertainty_score":0.6857939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382539383","doi":"10.18280/mmep.100302","title":"Development of a Sustainable Internet of Things-Based System for Monitoring Cattle Health and Location with Web and Mobile Application Feedback","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer science; The Internet; World Wide Web; Internet privacy","retraction":null,"screen_n_in":null,"score":{"opus":0.01987224642528954,"gpt":0.2202108697723912,"spread":0.2003386233471016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002966983,0.00007852919,0.000157518,0.000178682,0.00006209881,0.00002725869,0.00003937201,0.00003934793,1.425186e-7],"category_scores_gemma":[0.00001403516,0.00006829722,0.000006284639,0.0003276377,0.00002878466,0.0001183166,0.0000328311,0.00004689404,6.066348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000146795,"about_ca_system_score_gemma":0.00001840522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003716686,"about_ca_topic_score_gemma":5.127303e-7,"domain_scores_codex":[0.9994555,9.481706e-7,0.0002367885,0.0001160523,0.000060822,0.0001299439],"domain_scores_gemma":[0.9996609,0.00004064023,0.00009943914,0.00007240586,0.0001167774,0.000009825639],"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":[0.00003167029,0.0001155237,0.00146179,0.07785837,0.00008514304,3.838726e-7,0.004362304,0.4706025,0.001708263,0.4388185,0.00002902649,0.004926447],"study_design_scores_gemma":[0.0002307586,0.000019723,0.00002446821,0.0007688043,0.00001205476,7.176685e-7,0.001486154,0.995643,0.0004785396,0.001010771,0.0002506277,0.00007440397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4450072,0.00006865501,0.5544001,0.00007854602,0.000008506507,0.0003190494,2.477119e-7,0.00009861415,0.00001911163],"genre_scores_gemma":[0.9653355,0.000004456417,0.03436628,0.00000535459,0.00001120423,0.000230211,0.00001009107,0.00001454505,0.00002231596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5250404,"threshold_uncertainty_score":0.278508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313331769","doi":"10.1155/2022/9759384","title":"Retracted: Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Reinforcement learning; The Internet; Current (fluid); Computer science; Reinforcement; Artificial intelligence; Operations research; Engineering; World Wide Web; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009478975091356055,"gpt":0.2539614947135485,"spread":0.2444825196221924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643883,0.00007995305,0.0001419451,0.0005349507,0.0001658404,0.00001562153,0.0001084348,0.00003584367,0.0000227187],"category_scores_gemma":[0.000009324835,0.00007734713,0.00003069018,0.00054162,0.00005323503,0.0003801606,0.00001843491,0.0005079824,3.445921e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002079035,"about_ca_system_score_gemma":0.000005236565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009126671,"about_ca_topic_score_gemma":0.000009721097,"domain_scores_codex":[0.9992542,0.000005213523,0.0003662132,0.00009834683,0.0001982005,0.00007784372],"domain_scores_gemma":[0.9991748,0.00001476483,0.0006078739,0.00007113529,0.000127564,0.000003821478],"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":[0.0002161502,0.0001687634,0.02309835,0.0001370842,0.00005634228,0.000006054378,0.0006163113,0.01583078,0.002293295,0.06787675,0.0002695153,0.8894306],"study_design_scores_gemma":[0.00306382,0.0008747922,0.2322702,0.0001554849,0.0002588357,0.00001963018,0.03740572,0.001966903,0.001715919,0.01377191,0.708056,0.0004407835],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900743,0.002256051,0.001562631,0.005522069,0.0001866067,0.0001478026,0.000002984918,0.00007782035,0.0001696879],"genre_scores_gemma":[0.9988375,0.0004211292,0.0004499945,0.00007672708,0.00009627865,0.00002665471,0.00005396936,0.000008052994,0.00002971771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8889898,"threshold_uncertainty_score":0.3154125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281700085","doi":"10.1155/2022/2333497","title":"Integration and Application of Online Sports Resources Based on Multidimensional Intelligent Technology and Resource Optimization Architecture","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Shared resource; Resource (disambiguation); Architecture; Cybernetics; Resource allocation; Computer science; Knowledge management; Campus network; Resource management (computing); Division (mathematics); Engineering management; Educational resources; Engineering; Computer network; Artificial intelligence; Sociology","retraction":{"nature":"Retraction","openalex_flagged":true},"screen_n_in":null,"score":{"opus":0.005578904883487188,"gpt":0.2231650649927372,"spread":0.21758616010925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002332564,0.00009882516,0.000164429,0.001218862,0.0002198901,0.000007420137,0.00008597236,0.00004818255,0.00001100665],"category_scores_gemma":[0.0000318633,0.00009519183,0.0000322835,0.0008601153,0.00009375428,0.0001784749,0.00001440393,0.0003426168,7.193715e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414279,"about_ca_system_score_gemma":0.00001461165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008650044,"about_ca_topic_score_gemma":0.00002041445,"domain_scores_codex":[0.9990292,0.00001069681,0.0004595063,0.000140935,0.0002825076,0.00007721077],"domain_scores_gemma":[0.9988732,0.00003621395,0.0007768805,0.00009838578,0.0002083123,0.000006996574],"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":[0.0003389217,0.0002041373,0.007406889,0.00003236748,0.00001141009,0.000005084277,0.0001704919,0.9180613,0.005561931,0.008455249,0.00001913275,0.05973313],"study_design_scores_gemma":[0.009464846,0.002133954,0.380628,0.0006610357,0.0007072764,0.0001436152,0.03714802,0.4407522,0.006210091,0.03935792,0.08155309,0.001239885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947487,0.000095034,0.1001418,0.004686435,0.00005802195,0.0001971386,0.0000155316,0.00003066644,0.00002663095],"genre_scores_gemma":[0.980163,0.000009123342,0.01905818,0.0004775522,0.00004762223,0.00001702713,0.0002099432,0.00001271029,0.000004807013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.477309,"threshold_uncertainty_score":0.388181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312872634","doi":"10.1051/shsconf/202215101033","title":"A comparative analysis for emerging e-commerce business owners: Shopify & Amazon","year":2022,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Allergan (Canada)","funders":"","keywords":"Amazon rainforest; Business; E-commerce; Space (punctuation); Marketing; Service provider; Clothing; Business model; Service (business); Coronavirus disease 2019 (COVID-19); Supply chain; Commerce; Geography; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.06961362019472225,"gpt":0.3063497348402665,"spread":0.2367361146455442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003486206,0.0001708427,0.0004684861,0.001100451,0.0004497021,0.00009042539,0.000520638,0.00005483723,0.001445539],"category_scores_gemma":[0.00007417407,0.0001584471,0.0001450548,0.003666366,0.0001972515,0.0003828848,0.0002643076,0.0001857167,0.00001552145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654245,"about_ca_system_score_gemma":0.0004144677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086313,"about_ca_topic_score_gemma":0.001514165,"domain_scores_codex":[0.9988187,0.00001560679,0.0003985576,0.0002783056,0.0002432919,0.0002455597],"domain_scores_gemma":[0.9986373,0.0001103957,0.0004153519,0.0002950237,0.0005353393,0.000006565188],"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":[0.00005874942,0.0001713637,0.1686909,0.00007584067,0.0006548896,8.172196e-7,0.00009478904,0.000662178,0.0006018998,0.8200619,0.006914228,0.002012483],"study_design_scores_gemma":[0.0006982214,0.00002756861,0.06106555,0.00002322043,0.0007762676,8.472283e-7,0.007689098,0.006656536,0.0001008303,0.008340838,0.9142325,0.0003885322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7465863,0.0001415627,0.009210224,0.01749847,0.0005214248,0.0006912961,0.0001060519,0.0003176517,0.224927],"genre_scores_gemma":[0.9977378,0.00000619185,0.0003952771,0.0007957653,0.0001217493,0.0001774521,0.0004318292,0.000008613478,0.0003253543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9073183,"threshold_uncertainty_score":0.9994673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}