{"meta":{"query_hash":"2121bd0195fd","filters":{"venue":"International Semantic Web Conference"},"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/2121bd0195fd","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Semantic+Web+Conference"},"results":[{"id":"W2394921060","doi":"","title":"Linguistic patterns for information extraction in ontocmaps","year":2012,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Athabasca University; Royal Military College of Canada","funders":"","keywords":"Computer science; Ontology; Rule-based machine translation; Dependency (UML); Natural language processing; Ontology learning; Task (project management); Artificial intelligence; Ontology engineering; Knowledge base; Information extraction; Field (mathematics); Dependency grammar; Semantic Web; Information retrieval; Upper ontology; Suggested Upper Merged Ontology; Mathematics","score_opus":0.03261506881799248,"score_gpt":0.3026057903392546,"score_spread":0.26999072152126213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394921060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04169054,0.00042362112,0.9351642,0.0011610707,0.00014988481,0.0007995804,0.0033927963,0.0063749086,0.010843361],"genre_scores_gemma":[0.13230392,0.00044934484,0.8578434,0.00024550268,0.000036478297,0.0004791359,0.004712477,0.0006161031,0.0033135945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978415,0.0005489258,0.00037023175,0.00035978173,0.0007686737,0.00011089256],"domain_scores_gemma":[0.9965911,0.0014719428,0.0002648932,0.0009375485,0.00064604497,0.00008845605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016070709,0.00058737077,0.00049099704,0.0037218109,0.0010763084,0.002612922,0.00075254275,0.0007623229,0.0053183795],"category_scores_gemma":[0.008992217,0.0004821812,0.001039979,0.00436799,0.00095425785,0.0040309653,0.0023161694,0.0009629999,0.0020714623],"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":[0.00036115485,0.0002449104,0.009398027,0.0010991836,0.000114475195,0.0012681998,0.0024359722,0.0065492685,0.023573974,0.13316758,0.015678788,0.8061085],"study_design_scores_gemma":[0.00014667772,0.0002090225,0.0070842286,0.0007113726,0.00022843288,0.0026015197,0.0030117002,0.18707731,0.105228715,0.45086804,0.24267969,0.0001533478],"about_ca_topic_score_codex":0.0026839324,"about_ca_topic_score_gemma":0.0037949297,"teacher_disagreement_score":0.0053183795,"about_ca_system_score_codex":0.0005855232,"about_ca_system_score_gemma":0.001923386,"threshold_uncertainty_score":0.017791748},"labels":[],"label_agreement":null},{"id":"W2402464105","doi":"","title":"LinkedCT Live: Platform for Online Curation of Clinical Trials Data.","year":2015,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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 Toronto","funders":"","keywords":"Data curation; Computer science; Clinical trial; World Wide Web; Data science; Linked data; Open data; Web application; Semantic Web; Bioinformatics","score_opus":0.536467777306551,"score_gpt":0.5289484315586915,"score_spread":0.007519345747859507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402464105","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019854316,0.006767475,0.22213687,0.008912984,0.0020062681,0.005835381,0.6097886,0.11066145,0.031905614],"genre_scores_gemma":[0.017189365,0.004834955,0.21882647,0.007936846,0.0010540339,0.009131003,0.713941,0.015993956,0.011092445],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.980923,0.008178735,0.0038384122,0.0017481912,0.004783329,0.00052835455],"domain_scores_gemma":[0.8846125,0.070094675,0.011669325,0.01637514,0.010319182,0.0069291666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031334653,0.0019619248,0.0024790883,0.014942298,0.0016355662,0.009044526,0.004324626,0.00370655,0.060037248],"category_scores_gemma":[0.12705873,0.001571553,0.0025800585,0.013676691,0.0011487615,0.005684516,0.011235134,0.0056703785,0.028864743],"study_design_candidate":"bench_or_experimental","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":[0.0016006904,0.00028791043,0.0028220823,0.011054563,0.0013014929,0.0006840312,0.00084226625,0.001974685,0.005668717,0.026085628,0.8234936,0.124184385],"study_design_scores_gemma":[0.0012009401,0.00015460487,0.004499731,0.0029268118,0.000464588,0.00044966742,0.00017092633,0.0041498356,0.0057010227,0.04840583,0.93164074,0.00023538798],"about_ca_topic_score_codex":0.007254023,"about_ca_topic_score_gemma":0.008976058,"teacher_disagreement_score":0.060037248,"about_ca_system_score_codex":0.0027030355,"about_ca_system_score_gemma":0.019222284,"threshold_uncertainty_score":0.20084465},"labels":[],"label_agreement":null},{"id":"W2406441327","doi":"","title":"SOFIA: An Analytics Recommendation System.","year":2015,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"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 Toronto","funders":"","keywords":"Computer science; Analytics; Recommender system; Task (project management); Ontology; Implementation; Software deployment; Data science; Representation (politics); Data analysis; Information retrieval; Data mining; Software engineering","score_opus":0.08326283059138134,"score_gpt":0.3163933172153139,"score_spread":0.23313048662393254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406441327","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015270275,0.0028221966,0.4185359,0.0018510234,0.00055657176,0.0011826598,0.04926534,0.47343364,0.037082262],"genre_scores_gemma":[0.14468314,0.0038966925,0.5750619,0.0026149668,0.00034447422,0.0013726957,0.20432001,0.010460751,0.057245262],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908733,0.00013054807,0.00013499381,0.00021882755,0.0003569893,0.0000713658],"domain_scores_gemma":[0.99780685,0.00042041752,0.00015899168,0.00066262274,0.0007273563,0.00022371784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015618994,0.0015277634,0.0010908138,0.0038117461,0.00072885636,0.0021372887,0.00214339,0.0012202524,0.016956719],"category_scores_gemma":[0.0064327605,0.0008459146,0.0010378482,0.0023044334,0.00020694965,0.003127327,0.0018705709,0.0012011474,0.017629221],"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":[0.0011112894,0.0003179011,0.008473859,0.0008483764,0.00050462835,0.00038326962,0.00027076784,0.007955372,0.010560593,0.008374018,0.5656496,0.3955503],"study_design_scores_gemma":[0.00029485612,0.0002629685,0.007090535,0.0003160596,0.0002765318,0.0009176323,0.00031570517,0.26932886,0.019734582,0.025456408,0.67572117,0.0002847769],"about_ca_topic_score_codex":0.009296129,"about_ca_topic_score_gemma":0.01805528,"teacher_disagreement_score":0.016956719,"about_ca_system_score_codex":0.00081405864,"about_ca_system_score_gemma":0.001431625,"threshold_uncertainty_score":0.05672586},"labels":[],"label_agreement":null},{"id":"W2578082361","doi":"","title":"Using Semantic Web Technologies for Explaining and Predicting Abnormal Expenses.","year":2016,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Semantic Web; Information retrieval","score_opus":0.05009066489494174,"score_gpt":0.29932951649541545,"score_spread":0.2492388516004737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578082361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7061123,0.0067622513,0.20499386,0.005557497,0.0005612059,0.0005723386,0.024035674,0.0043512313,0.047053646],"genre_scores_gemma":[0.93005264,0.0018281469,0.057106346,0.00017524225,0.00013034305,0.00011141317,0.008630001,0.000096466516,0.0018693078],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911875,0.0002167115,0.0001202109,0.00012333726,0.0003483391,0.00007263891],"domain_scores_gemma":[0.9970161,0.0015379527,0.00062249374,0.00017867678,0.00055561215,0.000089199064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011448179,0.00072367414,0.00038741148,0.0074471603,0.00040963327,0.002176522,0.000545444,0.0010739481,0.0023780842],"category_scores_gemma":[0.007483835,0.00019524772,0.0007351846,0.005133585,0.00029927632,0.0036173915,0.00058754353,0.00072251,0.0008840734],"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":[0.00093395537,0.0011583238,0.39852014,0.0009482352,0.00078403245,0.0024393685,0.0007201132,0.04300145,0.0056485045,0.043389358,0.03274876,0.46970767],"study_design_scores_gemma":[0.00013647502,0.0002795893,0.14408568,0.0006925204,0.0007483508,0.0015928993,0.0031807302,0.62469006,0.015058282,0.1588091,0.05058084,0.00014544463],"about_ca_topic_score_codex":0.0065585175,"about_ca_topic_score_gemma":0.0091365995,"teacher_disagreement_score":0.0074471603,"about_ca_system_score_codex":0.00084315997,"about_ca_system_score_gemma":0.0010579833,"threshold_uncertainty_score":0.013040662},"labels":[],"label_agreement":null},{"id":"W3108390127","doi":"","title":"ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles","year":2020,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Transparency (behavior); Visualization; Data visualization; Human–computer interaction; Data mining; Computer security","score_opus":0.04154389703295188,"score_gpt":0.33338222743079854,"score_spread":0.2918383303978467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108390127","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075686416,0.0002892264,0.79012895,0.00089545915,0.00023282162,0.0002951959,0.016060544,0.17493059,0.009598596],"genre_scores_gemma":[0.20856266,0.0011195287,0.70918125,0.0006808164,0.0002105312,0.0010773293,0.03219814,0.031154085,0.01581568],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986059,0.00035715758,0.00016671841,0.00019669931,0.0005292156,0.00014436149],"domain_scores_gemma":[0.99676824,0.0012061307,0.00026197854,0.0009293731,0.0005631409,0.00027119523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025146944,0.0016380979,0.0010112913,0.005016152,0.0012929818,0.005637456,0.0016618455,0.001336495,0.019143702],"category_scores_gemma":[0.008867356,0.0008943438,0.0014319508,0.003554704,0.0006187435,0.0066372855,0.00522545,0.0026281895,0.0054973164],"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":[0.0017766602,0.00042297164,0.006289024,0.0021473758,0.00031257264,0.00082230597,0.009650614,0.013094501,0.020801285,0.19682677,0.24191628,0.5059396],"study_design_scores_gemma":[0.0002449811,0.00012782153,0.0030532181,0.0007586024,0.0001910411,0.0004587442,0.0017275651,0.18398531,0.03923953,0.18175457,0.58815384,0.00030473305],"about_ca_topic_score_codex":0.00851051,"about_ca_topic_score_gemma":0.012996136,"teacher_disagreement_score":0.019143702,"about_ca_system_score_codex":0.001027969,"about_ca_system_score_gemma":0.0017918592,"threshold_uncertainty_score":0.06404203},"labels":[],"label_agreement":null},{"id":"W620718788","doi":"","title":"Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns","year":2014,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Semantic Web; World Wide Web; OWL-S; Information retrieval; Semantic analytics; Social Semantic Web; Semantic Web Stack","score_opus":0.021615630712698848,"score_gpt":0.2526155752087996,"score_spread":0.23099994449610078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W620718788","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04527618,0.019523632,0.74075305,0.049882587,0.020940127,0.0007909484,0.0031090158,0.002883737,0.11684076],"genre_scores_gemma":[0.18375637,0.0185416,0.56669605,0.0062076207,0.0047506196,0.0006219294,0.017038101,0.0025058785,0.19988188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969668,0.0010926545,0.0003490306,0.00054705195,0.0007396144,0.00030482776],"domain_scores_gemma":[0.9936068,0.00212044,0.00021134487,0.0015882051,0.0017483282,0.00072497263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079336995,0.00092451816,0.0014851,0.0020034544,0.0017980686,0.009073086,0.0021488266,0.0021758357,0.0237247],"category_scores_gemma":[0.0105928,0.0010535567,0.0017818265,0.002430522,0.0023018715,0.013568326,0.0042478754,0.0042569553,0.004884794],"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":[0.0008369087,0.0009579045,0.0041105677,0.00071421755,0.00022441887,0.0006199534,0.0032974668,0.002511182,0.008635076,0.18191816,0.27726328,0.5189109],"study_design_scores_gemma":[0.000076907454,0.000120879384,0.0025985122,0.0004989171,0.00016770522,0.00067015586,0.0013877512,0.015938124,0.008011034,0.1508142,0.81964606,0.00006969186],"about_ca_topic_score_codex":0.009860139,"about_ca_topic_score_gemma":0.014438458,"teacher_disagreement_score":0.0237247,"about_ca_system_score_codex":0.0024077857,"about_ca_system_score_gemma":0.003960161,"threshold_uncertainty_score":0.07936704},"labels":[],"label_agreement":null}]}