{"meta":{"query_hash":"abfac41b0a67","filters":{"venue":"International Journal of Enterprise Network Management"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/abfac41b0a67","api":"https://metacan.xera.ac/api/v1/cohort?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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.00911554741619326,"score_gpt":0.24856055401140728,"score_spread":0.23944500659521403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075642749","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028540865,0.00023817475,0.9703469,0.00007977969,0.0003118498,0.00021663138,0.0000051578827,0.000038797207,0.00022182222],"genre_scores_gemma":[0.4817639,0.00009294067,0.5179253,0.000074247306,0.00010742304,0.0000016909178,0.0000031465884,0.000013929908,0.000017420607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885404,0.000037067937,0.0004747309,0.00012091287,0.00033422175,0.00017900439],"domain_scores_gemma":[0.9991052,0.00017108422,0.0002773031,0.00008198953,0.00030406629,0.000060348706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004535833,0.00013669723,0.00019555901,0.00015788616,0.000043001353,0.000051399056,0.00023066433,0.000036666683,0.0000069157545],"category_scores_gemma":[0.000020640457,0.00012762929,0.0000742837,0.00010516303,0.000017945471,0.00015184576,0.000039811544,0.000115988114,4.103204e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011835791,0.00005226674,0.00070320873,0.00002296872,0.00017129687,0.00004623265,0.000070220754,0.7335411,0.00011128074,0.00002625538,0.000113174065,0.26502368],"study_design_scores_gemma":[0.002161358,0.00021397509,0.0010629426,0.0005685739,0.000071594455,0.000019196987,0.000061122104,0.9949149,0.00024111464,0.000044683908,0.00052153383,0.00011902256],"about_ca_topic_score_codex":0.0000019288134,"about_ca_topic_score_gemma":0.0000013383761,"teacher_disagreement_score":0.45322305,"about_ca_system_score_codex":0.00011863122,"about_ca_system_score_gemma":0.0000118498165,"threshold_uncertainty_score":0.52045715},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04475662754013013,"score_gpt":0.3246377396004022,"score_spread":0.2798811120602721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385950072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017801126,0.0020600795,0.96490127,0.00095228065,0.0116580585,0.00021145082,0.000001393173,0.000049120426,0.00236522],"genre_scores_gemma":[0.8366628,0.0152402455,0.14010473,0.0011500465,0.0049790493,0.0000077009545,0.00004129905,0.00004878663,0.0017653124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776214,0.000099528464,0.0009204049,0.00021756375,0.0007869074,0.00021345321],"domain_scores_gemma":[0.99839383,0.000058933358,0.0010196958,0.0002398699,0.0001867725,0.00010086917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011727383,0.00014489786,0.00031670986,0.0005207286,0.00005694918,0.00013613525,0.0010174848,0.00003420619,0.000049332713],"category_scores_gemma":[0.000027798058,0.00012981836,0.00035200105,0.00067921064,0.000017497328,0.00052275625,0.0004673386,0.000112523696,0.000018077477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027528979,0.00020974345,0.037335686,0.00008556793,0.0026908002,0.00014408286,0.0012289734,0.21729401,0.00019139599,0.008662488,0.26395544,0.4679265],"study_design_scores_gemma":[0.0029199026,0.0003130517,0.03468516,0.0034040713,0.00039595884,0.000053128602,0.00062183227,0.4705541,0.00010437054,0.0033366508,0.48299137,0.00062040647],"about_ca_topic_score_codex":0.000008142013,"about_ca_topic_score_gemma":0.0000010520683,"teacher_disagreement_score":0.82479656,"about_ca_system_score_codex":0.00009874296,"about_ca_system_score_gemma":0.000032570395,"threshold_uncertainty_score":0.5293839},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04475662754013013,"score_gpt":0.3246377396004022,"score_spread":0.2798811120602721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386092100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017801126,0.0020600795,0.96490127,0.00095228065,0.0116580585,0.00021145082,0.000001393173,0.000049120426,0.00236522],"genre_scores_gemma":[0.8366628,0.0152402455,0.14010473,0.0011500465,0.0049790493,0.0000077009545,0.00004129905,0.00004878663,0.0017653124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776214,0.000099528464,0.0009204049,0.00021756375,0.0007869074,0.00021345321],"domain_scores_gemma":[0.99839383,0.000058933358,0.0010196958,0.0002398699,0.0001867725,0.00010086917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011727383,0.00014489786,0.00031670986,0.0005207286,0.00005694918,0.00013613525,0.0010174848,0.00003420619,0.000049332713],"category_scores_gemma":[0.000027798058,0.00012981836,0.00035200105,0.00067921064,0.000017497328,0.00052275625,0.0004673386,0.000112523696,0.000018077477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027528979,0.00020974345,0.037335686,0.00008556793,0.0026908002,0.00014408286,0.0012289734,0.21729401,0.00019139599,0.008662488,0.26395544,0.4679265],"study_design_scores_gemma":[0.0029199026,0.0003130517,0.03468516,0.0034040713,0.00039595884,0.000053128602,0.00062183227,0.4705541,0.00010437054,0.0033366508,0.48299137,0.00062040647],"about_ca_topic_score_codex":0.000008142013,"about_ca_topic_score_gemma":0.0000010520683,"teacher_disagreement_score":0.82479656,"about_ca_system_score_codex":0.00009874296,"about_ca_system_score_gemma":0.000032570395,"threshold_uncertainty_score":0.5293839},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Kernel (algebra); Computer science; Engineering; Mathematics","score_opus":0.03128959319052225,"score_gpt":0.2914614932589218,"score_spread":0.2601719000683995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401819612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78647745,0.006784845,0.073100746,0.014398779,0.053071428,0.0024709264,0.000010340562,0.00022920048,0.06345628],"genre_scores_gemma":[0.98529035,0.00079232216,0.0008908884,0.0047709784,0.005943172,0.000018281402,0.000017846369,0.00004042385,0.0022357188],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778026,0.0000423918,0.0007981196,0.00024438417,0.00083148613,0.00030336494],"domain_scores_gemma":[0.9990767,0.00005025224,0.00032900262,0.00018661085,0.00032076795,0.000036669993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001309738,0.00023133493,0.0002413849,0.0005114422,0.00017759715,0.0008061756,0.0006107652,0.00003063032,0.00058466115],"category_scores_gemma":[0.000027964594,0.00016193368,0.00027623997,0.00054627727,0.000021859103,0.001003537,0.00030914563,0.00021236566,0.0008736905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058081315,0.00022595873,0.013544618,0.0003571311,0.0018491145,0.00040753637,0.0009521549,0.102257386,0.000222239,0.0043172166,0.58921856,0.28606725],"study_design_scores_gemma":[0.0005624077,0.000019877232,0.003878714,0.0016056868,0.0004685617,0.000037547903,0.00060211093,0.049839813,0.0000063100106,0.000090780515,0.9426691,0.00021912169],"about_ca_topic_score_codex":0.00002479599,"about_ca_topic_score_gemma":0.0000140742495,"teacher_disagreement_score":0.3534505,"about_ca_system_score_codex":0.00031052774,"about_ca_system_score_gemma":0.000022860704,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null}]}