{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173121,0.0000661122,0.0001712227,0.00006345713,0.0000434998,0.00007060956,0.0006549928,0.0000238558,0.0001296897],"category_scores_gemma":[0.001094302,0.00004082641,0.0001117716,0.0005520632,0.00008383944,0.0002395424,0.0004812306,0.00005070557,0.00001817554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000187178,"about_ca_system_score_gemma":0.00003593434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002185203,"about_ca_topic_score_gemma":0.00001176881,"domain_scores_codex":[0.9980476,0.00001837695,0.0005238903,0.0002214717,0.00107815,0.00011052],"domain_scores_gemma":[0.9987438,0.0001170369,0.0003932838,0.0002242978,0.000490475,0.00003111715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004563171,0.0004281019,0.01316946,0.00012619,0.00008606206,8.153006e-7,0.001581858,0.00002710874,0.1665657,0.6959935,0.07505108,0.04692447],"study_design_scores_gemma":[0.0004344225,0.00006063363,0.01036923,0.00007540858,0.00004536604,0.000005692648,0.005557588,0.0001318444,0.8172494,0.1126685,0.05329797,0.000103905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.752775,0.0002587762,0.0010402,0.01321591,0.0006407837,0.0005654376,0.00005363874,0.00002856534,0.2314217],"genre_scores_gemma":[0.9949608,0.00002574458,0.001504612,0.0002111944,0.00002210992,0.000009580924,0.00000117155,0.000002982258,0.003261795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6506837,"threshold_uncertainty_score":0.1664853,"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."}}