{"id":"W3138240437","doi":"10.14778/3407790.3407806","title":"Knowledge translation","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Heuristics; SPARQL; Set (abstract data type); Ranking (information retrieval); Information retrieval; Translation (biology); Rank (graph theory); Semantic mapping; Natural language processing; Artificial intelligence; Data mining; Semantic Web; RDF; Programming language; Mathematics","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":[0.002156965,0.001389453,0.0008219644,0.003834084,0.001349749,0.005271471,0.002831423,0.001351386,0.05820124],"category_scores_gemma":[0.01283562,0.0007888001,0.001703559,0.003694121,0.0009768091,0.004581895,0.006228174,0.001755335,0.02688132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393298,"about_ca_system_score_gemma":0.002424555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918255,"about_ca_topic_score_gemma":0.003180468,"domain_scores_codex":[0.9967101,0.0009230309,0.0004179351,0.0006296977,0.001073848,0.0002454413],"domain_scores_gemma":[0.9950441,0.001474154,0.0001677626,0.00206647,0.001080904,0.0001666585],"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":[0.0002573623,0.000314315,0.001022171,0.00130945,0.0001662857,0.0009141852,0.001222755,0.00913009,0.005574497,0.1796346,0.1324765,0.6679778],"study_design_scores_gemma":[0.00007696357,0.00007677459,0.0005012499,0.0003806632,0.0000618671,0.0006998901,0.0008182205,0.02723616,0.01109833,0.1688268,0.7901568,0.00006626057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006902673,0.001073965,0.7895723,0.001636292,0.0009606701,0.001233337,0.01246071,0.03269364,0.1534664],"genre_scores_gemma":[0.09334517,0.001530212,0.8068928,0.001523231,0.000191604,0.001182608,0.03941097,0.005621496,0.05030197],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05820124,"threshold_uncertainty_score":0.1947026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498789382318941,"score_gpt":0.2627009697317941,"score_spread":0.1777130759086047,"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."}}