{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"abfac41b0a67","filters":{"venue":"International Journal of Enterprise Network Management"}},"results":[{"id":"W2075642749","doi":"10.1504/ijenm.2009.032395","title":"Saving based algorithm for multi-depot version of vehicle routing problem with simultaneous pickup and delivery","year":2009,"lang":"en","type":"article","venue":"International Journal of Enterprise Network Management","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":9,"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":"Pickup; Depot; Vehicle routing problem; Computer science; Algorithm; Routing (electronic design automation); Mathematical optimization; Simulation; Computer network; Mathematics; Artificial intelligence; Geography","authors":[{"name":"Yuvraj Gajpal","is_ca":true},{"name":"P.L. Abad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00911554741619326,"gpt":0.2485605540114073,"spread":0.239445006595214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004535833,0.0001366972,0.000195559,0.0001578862,0.00004300135,0.00005139906,0.0002306643,0.00003666668,0.000006915755],"category_scores_gemma":[0.00002064046,0.0001276293,0.0000742837,0.000105163,0.00001794547,0.0001518458,0.00003981154,0.0001159881,4.103204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186312,"about_ca_system_score_gemma":0.00001184982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001928813,"about_ca_topic_score_gemma":0.000001338376,"domain_scores_codex":[0.998854,0.00003706794,0.0004747309,0.0001209129,0.0003342218,0.0001790044],"domain_scores_gemma":[0.9991052,0.0001710842,0.0002773031,0.00008198953,0.0003040663,0.00006034871],"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":[0.0001183579,0.00005226674,0.0007032087,0.00002296872,0.0001712969,0.00004623265,0.00007022075,0.7335411,0.0001112807,0.00002625538,0.0001131741,0.2650237],"study_design_scores_gemma":[0.002161358,0.0002139751,0.001062943,0.0005685739,0.00007159446,0.00001919699,0.0000611221,0.9949149,0.0002411146,0.00004468391,0.0005215338,0.0001190226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02854086,0.0002381747,0.9703469,0.00007977969,0.0003118498,0.0002166314,0.000005157883,0.00003879721,0.0002218222],"genre_scores_gemma":[0.4817639,0.00009294067,0.5179253,0.00007424731,0.000107423,0.000001690918,0.000003146588,0.00001392991,0.00001742061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.453223,"threshold_uncertainty_score":0.5204571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401819612","doi":"10.1504/ijenm.2024.140524","title":"Mining customer reviews to evaluate the contact centre agent performance using custom kernel functions","year":2024,"lang":"en","type":"article","venue":"International Journal of Enterprise Network Management","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Kernel (algebra); Computer science; Engineering; Mathematics","authors":[{"name":"M. Punniyamoorthy","is_ca":false},{"name":"Ernest W. Johnson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03128959319052225,"gpt":0.2914614932589218,"spread":0.2601719000683995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001309738,0.0002313349,0.0002413849,0.0005114422,0.0001775971,0.0008061756,0.0006107652,0.00003063032,0.0005846611],"category_scores_gemma":[0.00002796459,0.0001619337,0.00027624,0.0005462773,0.0000218591,0.001003537,0.0003091456,0.0002123657,0.0008736905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105277,"about_ca_system_score_gemma":0.0000228607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002479599,"about_ca_topic_score_gemma":0.00001407425,"domain_scores_codex":[0.9977803,0.0000423918,0.0007981196,0.0002443842,0.0008314861,0.0003033649],"domain_scores_gemma":[0.9990767,0.00005025224,0.0003290026,0.0001866109,0.000320768,0.00003666999],"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":[0.0005808132,0.0002259587,0.01354462,0.0003571311,0.001849115,0.0004075364,0.0009521549,0.1022574,0.000222239,0.004317217,0.5892186,0.2860672],"study_design_scores_gemma":[0.0005624077,0.00001987723,0.003878714,0.001605687,0.0004685617,0.0000375479,0.0006021109,0.04983981,0.000006310011,0.00009078052,0.9426691,0.0002191217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7864774,0.006784845,0.07310075,0.01439878,0.05307143,0.002470926,0.00001034056,0.0002292005,0.06345628],"genre_scores_gemma":[0.9852903,0.0007923222,0.0008908884,0.004770978,0.005943172,0.0000182814,0.00001784637,0.00004042385,0.002235719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3534505,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386092100","doi":"10.1504/ijenm.2023.132966","title":"Opinion mining of customers reviews using new Jaccard dissimilarity kernel function","year":2023,"lang":"en","type":"article","venue":"International Journal of Enterprise Network Management","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Jaccard index; Computer science; Support vector machine; Artificial intelligence; Machine learning; Kernel (algebra); Data mining; Popularity; AKA; Sentiment analysis; Information retrieval; Pattern recognition (psychology); Mathematics","authors":[{"name":"Santhosh Kumar Arjunan","is_ca":false},{"name":"M. Punniyamoorthy","is_ca":false},{"name":"Ernest W. Johnson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04475662754013013,"gpt":0.3246377396004022,"spread":0.2798811120602721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172738,0.0001448979,0.0003167099,0.0005207286,0.00005694918,0.0001361352,0.001017485,0.00003420619,0.00004933271],"category_scores_gemma":[0.00002779806,0.0001298184,0.0003520011,0.0006792106,0.00001749733,0.0005227563,0.0004673386,0.0001125237,0.00001807748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009874296,"about_ca_system_score_gemma":0.00003257039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008142013,"about_ca_topic_score_gemma":0.000001052068,"domain_scores_codex":[0.9977621,0.00009952846,0.0009204049,0.0002175637,0.0007869074,0.0002134532],"domain_scores_gemma":[0.9983938,0.00005893336,0.001019696,0.0002398699,0.0001867725,0.0001008692],"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":[0.0002752898,0.0002097434,0.03733569,0.00008556793,0.0026908,0.0001440829,0.001228973,0.217294,0.000191396,0.008662488,0.2639554,0.4679265],"study_design_scores_gemma":[0.002919903,0.0003130517,0.03468516,0.003404071,0.0003959588,0.0000531286,0.0006218323,0.4705541,0.0001043705,0.003336651,0.4829914,0.0006204065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01780113,0.002060079,0.9649013,0.0009522807,0.01165806,0.0002114508,0.000001393173,0.00004912043,0.00236522],"genre_scores_gemma":[0.8366628,0.01524025,0.1401047,0.001150046,0.004979049,0.000007700954,0.00004129905,0.00004878663,0.001765312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8247966,"threshold_uncertainty_score":0.5293839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385950072","doi":"10.1504/ijenm.2023.10058459","title":"Opinion mining of customers reviews using new Jaccard dissimilarity kernel function","year":2023,"lang":"en","type":"article","venue":"International Journal of Enterprise Network Management","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Jaccard index; Function (biology); Kernel (algebra); Computer science; Information retrieval; Data mining; Artificial intelligence; Mathematics; Pattern recognition (psychology); Biology; Combinatorics","authors":[{"name":"Ernest W. Johnson","is_ca":true},{"name":"Santhosh Kumar Arjunan","is_ca":false},{"name":"M. Punniyamoorthy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04475662754013013,"gpt":0.3246377396004022,"spread":0.2798811120602721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172738,0.0001448979,0.0003167099,0.0005207286,0.00005694918,0.0001361352,0.001017485,0.00003420619,0.00004933271],"category_scores_gemma":[0.00002779806,0.0001298184,0.0003520011,0.0006792106,0.00001749733,0.0005227563,0.0004673386,0.0001125237,0.00001807748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009874296,"about_ca_system_score_gemma":0.00003257039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008142013,"about_ca_topic_score_gemma":0.000001052068,"domain_scores_codex":[0.9977621,0.00009952846,0.0009204049,0.0002175637,0.0007869074,0.0002134532],"domain_scores_gemma":[0.9983938,0.00005893336,0.001019696,0.0002398699,0.0001867725,0.0001008692],"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":[0.0002752898,0.0002097434,0.03733569,0.00008556793,0.0026908,0.0001440829,0.001228973,0.217294,0.000191396,0.008662488,0.2639554,0.4679265],"study_design_scores_gemma":[0.002919903,0.0003130517,0.03468516,0.003404071,0.0003959588,0.0000531286,0.0006218323,0.4705541,0.0001043705,0.003336651,0.4829914,0.0006204065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01780113,0.002060079,0.9649013,0.0009522807,0.01165806,0.0002114508,0.000001393173,0.00004912043,0.00236522],"genre_scores_gemma":[0.8366628,0.01524025,0.1401047,0.001150046,0.004979049,0.000007700954,0.00004129905,0.00004878663,0.001765312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8247966,"threshold_uncertainty_score":0.5293839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}