{"id":"W2398915717","doi":"","title":"Bio2RDF release 3: a larger connected network of linked data for the life sciences","year":2014,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"SPARQL; Computer science; Linked data; Data quality; Rest (music); Information retrieval; Database; World Wide Web; RDF; Data science; Data mining; Semantic Web; Engineering","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":[0.001962307,0.00006590653,0.00009606263,0.0001838835,0.0005918886,0.00003332627,0.001560525,0.0001184386,0.000017874],"category_scores_gemma":[0.00774152,0.00004948359,0.0000431653,0.001803339,0.0009245712,0.00001138913,0.0006245163,0.0001392761,0.0000045524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001070081,"about_ca_system_score_gemma":0.0005425635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003997359,"about_ca_topic_score_gemma":0.00003230555,"domain_scores_codex":[0.9986874,0.0002556766,0.0001210416,0.000354314,0.0002406865,0.0003408634],"domain_scores_gemma":[0.9974867,0.0008897689,0.00007371861,0.0008636874,0.0005590252,0.0001271653],"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":[0.0002063159,0.0003119421,0.006432445,0.00004693103,0.0003130944,6.484667e-7,0.00003949398,0.0002498527,0.00777162,0.081348,0.856368,0.04691162],"study_design_scores_gemma":[0.0003716127,0.0002348698,0.002941278,0.000007435443,0.00002102126,7.413495e-7,0.0002616679,0.004744323,0.0002018484,0.0001391749,0.9910104,0.00006561149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1753816,0.009892783,0.6671839,0.1058319,0.0006161197,0.003750928,0.001463307,0.0003595309,0.03551986],"genre_scores_gemma":[0.9840022,0.0006356057,0.008660358,0.0001461394,0.000393631,0.00001205259,0.0004989894,0.0000111355,0.005639927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8086205,"threshold_uncertainty_score":0.9267882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767112492712849,"score_gpt":0.3734440328162238,"score_spread":0.1967327835449389,"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."}}