{"id":"W2023917861","doi":"10.1038/npre.2010.5060.1","title":"Bio2RDF: Convert, Provide And Reuse.","year":2010,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Computer science; Identifier; SPARQL; Linked data; RDF; Information retrieval; World Wide Web; Semantic Web; Database; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009089391,0.003945082,0.001711664,0.007727768,0.001723049,0.007955361,0.005004412,0.003197321,0.09437542],"category_scores_gemma":[0.02307089,0.002721341,0.003670993,0.006320156,0.001566074,0.01042654,0.009724925,0.004104895,0.1353785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002950496,"about_ca_system_score_gemma":0.003341873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007113147,"about_ca_topic_score_gemma":0.00451961,"domain_scores_codex":[0.9936527,0.0007177136,0.0006735393,0.001169548,0.003061832,0.0007246757],"domain_scores_gemma":[0.9915578,0.001795137,0.0004343098,0.004289203,0.001471298,0.0004523171],"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":[0.0007321074,0.0002768641,0.002029183,0.001347829,0.0001778275,0.0008444767,0.0006802051,0.001442428,0.005245734,0.024251,0.8437938,0.1191786],"study_design_scores_gemma":[0.0001215838,0.00004228068,0.001505758,0.000329399,0.00004444304,0.0005774161,0.0001617267,0.002614175,0.01166818,0.0158392,0.9669363,0.0001595198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002004283,0.0009279183,0.1394728,0.0009827286,0.0007573745,0.0004232923,0.1152377,0.7147244,0.02546954],"genre_scores_gemma":[0.01932269,0.001403405,0.1184822,0.001471636,0.000178253,0.001117948,0.4870162,0.3472044,0.02380341],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.09437542,"threshold_uncertainty_score":0.3157172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0077923154753697,"score_gpt":0.2767130480593398,"score_spread":0.2689207325839701,"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."}}