{"id":"W3196877232","doi":"10.14778/3476311.3476317","title":"A demonstration of KGLac","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; SPARQL; Metadata; Data science; Knowledge graph; Knowledge extraction; Data discovery; Information retrieval; Pipeline (software); Annotation; RDF; Graph; World Wide Web; Data mining; Semantic Web; Artificial intelligence; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00451425,0.0005881899,0.0005033156,0.002222472,0.001549991,0.00340523,0.002059994,0.001265219,0.01238371],"category_scores_gemma":[0.01667938,0.0005324878,0.0009968437,0.004245347,0.001968003,0.005616552,0.005115576,0.001971572,0.01007019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419972,"about_ca_system_score_gemma":0.004094128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374334,"about_ca_topic_score_gemma":0.01490227,"domain_scores_codex":[0.9964064,0.0008294596,0.0002645467,0.0009199691,0.001320718,0.0002588679],"domain_scores_gemma":[0.9848231,0.004744708,0.0006068921,0.006432223,0.002763932,0.0006291516],"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":[0.0009640704,0.000784583,0.02499083,0.001163542,0.0001713883,0.001184205,0.003592978,0.0196317,0.01959462,0.1505431,0.3091299,0.468249],"study_design_scores_gemma":[0.0001954815,0.0002713547,0.006063444,0.0002491309,0.00009546252,0.001103651,0.001124143,0.2402541,0.02697484,0.1685822,0.5549228,0.0001633281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03298176,0.0006285599,0.718341,0.006159035,0.0005996736,0.0004976512,0.01378866,0.1899128,0.03709082],"genre_scores_gemma":[0.1620112,0.0005391289,0.795094,0.002635463,0.0001535555,0.0003537876,0.02173735,0.006585298,0.01089022],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01374334,"threshold_uncertainty_score":0.04142761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260426999940286,"score_gpt":0.3717205144904642,"score_spread":0.2456778144964356,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}