{"id":"W3086973390","doi":"10.14778/3407790.3407858","title":"ATHENA++","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Benchmark (surveying); SQL; Query language; Set (abstract data type); Ontology; Nesting (process); Information retrieval; Programming language; Database","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":[0.001551843,0.002107514,0.00136211,0.002269611,0.0009962237,0.004453444,0.00505697,0.001699085,0.0873169],"category_scores_gemma":[0.007764275,0.001373982,0.001721097,0.002297119,0.0007891611,0.005833715,0.005592319,0.002694545,0.1187564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051861,"about_ca_system_score_gemma":0.001706213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418154,"about_ca_topic_score_gemma":0.004405217,"domain_scores_codex":[0.9970306,0.0003974912,0.0003151325,0.000873029,0.001169778,0.000213984],"domain_scores_gemma":[0.9971191,0.0006264152,0.0001444443,0.001265647,0.0006358124,0.0002086057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001132786,0.0002486382,0.001982678,0.001426063,0.0001478561,0.000446322,0.0002861655,0.002843824,0.009013368,0.01871874,0.7188429,0.2449107],"study_design_scores_gemma":[0.0002479879,0.0001669399,0.001573753,0.0001612525,0.00005399438,0.0006902448,0.00007374149,0.01527443,0.0117131,0.01483096,0.9550999,0.0001136526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01528395,0.00406595,0.1368829,0.001989634,0.001346752,0.001153877,0.07498315,0.5763773,0.1879165],"genre_scores_gemma":[0.09201,0.003087181,0.3193487,0.004930038,0.0004875643,0.002289309,0.3643606,0.06311218,0.1503744],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0873169,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196695787347267,"score_gpt":0.2013119211773401,"score_spread":0.1793449633038674,"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."}}