{"id":"W3089128903","doi":"10.1145/3395027.3419592","title":"A Framework for Extracted View Maintenance","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Extractor; Information retrieval; Information extraction; Data mining; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007985327,0.001265471,0.001453723,0.004224232,0.00186847,0.00704817,0.005743291,0.002400662,0.006007168],"category_scores_gemma":[0.01883033,0.001621547,0.003317803,0.003607893,0.003737316,0.0115552,0.006883116,0.004410817,0.002258881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752853,"about_ca_system_score_gemma":0.003636208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00561681,"about_ca_topic_score_gemma":0.005617469,"domain_scores_codex":[0.9926224,0.001368602,0.0008217078,0.002188601,0.002577146,0.0004216265],"domain_scores_gemma":[0.9869612,0.002677304,0.001009779,0.006699208,0.002290117,0.0003623065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001881264,0.0001303883,0.001235564,0.0004483713,0.0001578415,0.0005244252,0.0008966182,0.03431147,0.006980752,0.7116118,0.01192075,0.2315939],"study_design_scores_gemma":[0.00006517128,0.0001021856,0.0004123113,0.0002055913,0.000149834,0.0007183202,0.0002232275,0.3323188,0.01360879,0.5573683,0.09472676,0.000100683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007655232,0.0001656591,0.9957723,0.000199433,0.00003415047,0.0000898757,0.0001926329,0.001906392,0.0008739647],"genre_scores_gemma":[0.03285173,0.0002815555,0.9618571,0.0001775952,0.00009521499,0.000208376,0.001133915,0.0007398747,0.00265469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007985327,"threshold_uncertainty_score":0.0422309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655854069759577,"score_gpt":0.2986842251604706,"score_spread":0.2330988181845128,"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."}}