{"meta":{"query_hash":"6e89905d9a6e","filters":{"venue":"International Journal of Metadata Semantics and Ontologies"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/6e89905d9a6e","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Metadata+Semantics+and+Ontologies"},"results":[{"id":"W2130654908","doi":"10.1504/ijmso.2013.057768","title":"Exploiting the Arabic Wikipedia for semi-automatic construction of a lexical ontology","year":2013,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Upper ontology; Arabic; Natural language processing; Suggested Upper Merged Ontology; Ontology-based data integration; Core (optical fiber); Information retrieval; Ontology Inference Layer; Ontology alignment; Process ontology; Artificial intelligence; Linguistics; OWL-S; Semantic Web; Semantic Web Stack","score_opus":0.026804571051716974,"score_gpt":0.27634272465372206,"score_spread":0.2495381536020051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130654908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47780508,0.0013108056,0.5034995,0.015588004,0.0015041035,0.00016706574,0.0000063593575,0.00003418334,0.00008487698],"genre_scores_gemma":[0.8759253,0.00043306412,0.12322628,0.00024678477,0.00013690756,0.000008290343,0.0000016678862,0.000004267603,0.000017469783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985706,0.000079067126,0.0006611903,0.00015887684,0.0003507466,0.0001794701],"domain_scores_gemma":[0.99720794,0.001159931,0.0006946582,0.00023716748,0.00065995,0.000040343824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056764483,0.0001270575,0.0003668486,0.00015340242,0.00007672453,0.00027119974,0.0012635671,0.000072067734,0.000005828435],"category_scores_gemma":[0.0011409208,0.000076520446,0.00012502709,0.00007319754,0.00031213587,0.0012010087,0.00024682668,0.00014501749,0.0000010996296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006751881,0.00018264048,0.02175803,0.00012429146,0.0010805135,0.000055000077,0.0017582107,0.00007014574,0.0034075805,0.6787586,0.0035480298,0.28918943],"study_design_scores_gemma":[0.0048267148,0.0015330771,0.17587785,0.0006309365,0.00052805623,0.0075486074,0.015549498,0.19361131,0.01737252,0.57311743,0.008481004,0.0009229729],"about_ca_topic_score_codex":0.000072213705,"about_ca_topic_score_gemma":0.00003840678,"teacher_disagreement_score":0.3981202,"about_ca_system_score_codex":0.000017862882,"about_ca_system_score_gemma":0.000076282515,"threshold_uncertainty_score":0.3120413},"labels":[],"label_agreement":null},{"id":"W4242139153","doi":"10.1504/ijmso.2019.099839","title":"A data exchange solution for emergency response systems based on the EDXL-RESCUER ontology","year":2019,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission","keywords":"Interoperability; Computer science; Ontology; Semantic interoperability; Data exchange; Emergency response; Information exchange; Computer security; Database; World Wide Web; Medical emergency; Telecommunications; Medicine","score_opus":0.36351123738029595,"score_gpt":0.46071758606612306,"score_spread":0.09720634868582712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242139153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1603979,0.003442416,0.63888717,0.17428523,0.017648485,0.0010793571,0.0034242952,0.000034725814,0.000800398],"genre_scores_gemma":[0.9928711,0.000565527,0.0033444976,0.00089690345,0.00027268982,0.000008623047,0.00009234982,0.000008883291,0.0019394102],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684536,0.0005810125,0.0008422356,0.0003108995,0.0012536645,0.00016684619],"domain_scores_gemma":[0.9938297,0.003718921,0.0007789549,0.00095959165,0.00066998834,0.000042812444],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.012885555,0.000121425976,0.00032016027,0.0002973983,0.000095673,0.00047556628,0.0030998592,0.000058316622,0.0000979837],"category_scores_gemma":[0.0089423,0.00006617867,0.000093622664,0.00010407163,0.00008635562,0.0010085747,0.0006544573,0.00013417992,0.000019807025],"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":[0.008398331,0.00054662133,0.008855596,0.00009515653,0.0011772495,0.00010104426,0.0005247696,0.0010220167,0.0009959728,0.1940286,0.743793,0.040461633],"study_design_scores_gemma":[0.001045564,0.00046443753,0.012050798,0.00007675182,0.00009024903,0.000044350974,0.0020135825,0.096212536,0.000035618075,0.006687088,0.88112205,0.00015696896],"about_ca_topic_score_codex":0.000061525236,"about_ca_topic_score_gemma":0.0002855271,"teacher_disagreement_score":0.8324732,"about_ca_system_score_codex":0.000023505767,"about_ca_system_score_gemma":0.00007118226,"threshold_uncertainty_score":0.9994058},"labels":[],"label_agreement":null},{"id":"W4242445073","doi":"10.1504/ijmso.2018.098394","title":"Specification of semantic information of Arabic provisions","year":2018,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Obligation; Computer science; Arabic; Action (physics); Legal document; Permission; Annotation; Artificial intelligence; Political science; Linguistics; Law","score_opus":0.05249560212463505,"score_gpt":0.3828540928706636,"score_spread":0.3303584907460285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242445073","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":[0.8767942,0.00035308543,0.111102745,0.004249672,0.002065656,0.00016812599,0.00003380118,0.000016284579,0.0052164285],"genre_scores_gemma":[0.99247974,0.0007940604,0.006435234,0.000034326487,0.00021053155,2.9371594e-7,0.0000033037488,0.0000022401468,0.000040251765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984589,0.00006107166,0.0007159213,0.00005632254,0.000610676,0.00009706224],"domain_scores_gemma":[0.9967595,0.00027797662,0.0009216633,0.000106792926,0.0018967987,0.00003727807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013195962,0.00005835439,0.0001851247,0.0002441534,0.00008108946,0.000078238525,0.00049765495,0.0000599304,0.000031019612],"category_scores_gemma":[0.0018354959,0.000047036672,0.000058327678,0.00012423843,0.0008305846,0.0015152242,0.0000695566,0.000080880614,0.0000033442695],"study_design_candidate":"theoretical_or_conceptual","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":[0.00027728407,0.00019794778,0.02204431,0.000043706197,0.0003274387,0.000007786598,0.01737816,0.000031337346,0.005538487,0.84204984,0.0014800637,0.11062364],"study_design_scores_gemma":[0.0012853361,0.0019250801,0.12052936,0.0011406725,0.0005321251,0.00014056948,0.12476324,0.0030324224,0.2552734,0.14426766,0.3463193,0.00079084747],"about_ca_topic_score_codex":0.00045398218,"about_ca_topic_score_gemma":0.0007083802,"teacher_disagreement_score":0.69778216,"about_ca_system_score_codex":0.000026152346,"about_ca_system_score_gemma":0.000120950404,"threshold_uncertainty_score":0.30603236},"labels":[],"label_agreement":null},{"id":"W4253990414","doi":"10.1504/ijmso.2018.096454","title":"Ontology of folktales in the Greater Mekong Subregion","year":2018,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Humanities Research Group, University of Windsor; Khon Kaen University","keywords":"Ontology; Upper ontology; Documentation; Scope (computer science); Computer science; Domain (mathematical analysis); Ontology-based data integration; Process ontology; Digital library; Field (mathematics); Suggested Upper Merged Ontology; Information retrieval; Data science; Knowledge management; Linguistics; Semantic Web; Epistemology; Philosophy","score_opus":0.03199908701069654,"score_gpt":0.3192780661648376,"score_spread":0.2872789791541411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253990414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47357824,0.006288951,0.5039054,0.015145341,0.0007780562,0.00007894224,0.000004690911,0.0000345499,0.00018577339],"genre_scores_gemma":[0.88561875,0.00019961847,0.113892555,0.00020828545,0.00006960787,4.6253555e-7,5.820433e-7,0.0000017325258,0.0000084117255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912894,0.00007673037,0.0003116969,0.000098225006,0.00029553275,0.000088876266],"domain_scores_gemma":[0.99898773,0.00016063052,0.0003146001,0.00017286978,0.00035158027,0.000012603273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294525,0.000070194714,0.00017074689,0.00019051746,0.000025083946,0.00014328645,0.0015649163,0.00004429502,0.0000011200323],"category_scores_gemma":[0.0002630979,0.000039505623,0.000040551688,0.00008503238,0.00019765343,0.00080177624,0.00022407368,0.00012346558,2.4522288e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000224511,0.00022792445,0.058921628,0.00005560632,0.00039746283,0.0010269351,0.007994169,0.0000026061634,0.0077722757,0.78656185,0.0028752387,0.13393982],"study_design_scores_gemma":[0.0029822087,0.0022542726,0.18504335,0.0009875704,0.00018592304,0.011124371,0.00293503,0.0065845367,0.13881972,0.63731974,0.010968463,0.00079479575],"about_ca_topic_score_codex":0.00005899661,"about_ca_topic_score_gemma":0.00017506293,"teacher_disagreement_score":0.41204047,"about_ca_system_score_codex":0.000011970078,"about_ca_system_score_gemma":0.000029969267,"threshold_uncertainty_score":0.290803},"labels":[],"label_agreement":null},{"id":"W4387507843","doi":"10.1504/ijmso.2023.10059687","title":"Preprocessing of RDF data for METIS partitioning","year":2023,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; RDF; Computer science; Preprocessor; Linked data; Information retrieval; Natural language processing; Artificial intelligence; Database; Semantic Web","score_opus":0.12308859552444941,"score_gpt":0.3737011982068909,"score_spread":0.2506126026824415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387507843","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":[0.031133559,0.0009475326,0.96433574,0.002263118,0.0010668968,0.00004563619,0.00011967623,0.00003778166,0.000050073137],"genre_scores_gemma":[0.9425054,0.00026088633,0.05698803,0.000027480522,0.00011524832,7.2965423e-7,0.00005721691,0.00000300343,0.000041968284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989937,0.00003292901,0.0004134566,0.00015450797,0.0003027898,0.00010260053],"domain_scores_gemma":[0.998454,0.0003614909,0.00046051675,0.00029269123,0.00040466056,0.000026644064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011082188,0.000063709376,0.00020243396,0.00013678819,0.000051401887,0.00031389695,0.0017033474,0.000026929698,5.498858e-7],"category_scores_gemma":[0.0006751788,0.000050318005,0.000043720123,0.00012185998,0.000040990122,0.001049119,0.0005714127,0.000056500412,5.6590216e-7],"study_design_candidate":"simulation_or_modeling","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":[0.00031507743,0.00050339056,0.05354444,0.0010967759,0.004637769,0.0005208577,0.0041265255,0.018020809,0.006116824,0.46590713,0.10489656,0.34031385],"study_design_scores_gemma":[0.0022349746,0.00040761073,0.035291526,0.0011923703,0.0001940937,0.00077942206,0.0010367421,0.8140861,0.0034627647,0.043215133,0.09762461,0.00047468836],"about_ca_topic_score_codex":0.00001710118,"about_ca_topic_score_gemma":0.000007270903,"teacher_disagreement_score":0.9113719,"about_ca_system_score_codex":0.0000066544367,"about_ca_system_score_gemma":0.00005922332,"threshold_uncertainty_score":0.31652716},"labels":[],"label_agreement":null},{"id":"W4389402975","doi":"10.1504/ijmso.2023.135345","title":"Pre-processing of RDF data for METIS partitioning","year":2023,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; RDF; Computer science; Linked data; Information retrieval; World Wide Web; Semantic Web","score_opus":0.0988397777745871,"score_gpt":0.3648675136028263,"score_spread":0.26602773582823924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389402975","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":[0.032784928,0.0011819635,0.96258426,0.0022171796,0.0009734602,0.000047660684,0.00013602318,0.000038159702,0.000036347545],"genre_scores_gemma":[0.94358885,0.0002812717,0.055858735,0.000029814808,0.00012565502,7.891128e-7,0.00006564123,0.000003337338,0.00004592443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989377,0.000035337016,0.00043493678,0.00015074991,0.00032879747,0.000112423666],"domain_scores_gemma":[0.99850756,0.00030192404,0.00048063786,0.00026825303,0.000412208,0.000029413854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010452153,0.00006997148,0.00021659846,0.00014586996,0.00005685476,0.0003396617,0.0017977959,0.000029651745,5.6568524e-7],"category_scores_gemma":[0.000497492,0.000054878816,0.000046551722,0.00012861358,0.000044262386,0.0011018019,0.00056215364,0.00006359025,4.823887e-7],"study_design_candidate":"simulation_or_modeling","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":[0.0003236835,0.00042268756,0.0393939,0.0009172031,0.0031439215,0.0004338855,0.0038480896,0.01502844,0.0040862216,0.3176,0.08420436,0.53059757],"study_design_scores_gemma":[0.0016071413,0.00032862925,0.04252461,0.0008385123,0.00014471829,0.0005226384,0.00063137227,0.86067194,0.0014713065,0.022422614,0.0684875,0.00034901683],"about_ca_topic_score_codex":0.00002195374,"about_ca_topic_score_gemma":0.00000962515,"teacher_disagreement_score":0.9108039,"about_ca_system_score_codex":0.0000074150785,"about_ca_system_score_gemma":0.000064347354,"threshold_uncertainty_score":0.3340782},"labels":[],"label_agreement":null}]}