{"id":"W2145428772","doi":"10.1186/1471-2105-12-481","title":"U-Compare bio-event meta-service: compatible BioNLP event extraction services","year":2011,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Brain Injury Research Center; U.S. National Library of Medicine; National Institute of General Medical Sciences; Precursory Research for Embryonic Science and Technology; National Institute on Drug Abuse; Directorate for Biological Sciences; National Institutes of Health; Fonds Wetenschappelijk Onderzoek; China Scholarship Council; Joint Information Systems Committee; Vlaamse regering; Biotechnology and Biological Sciences Research Council; University of Tokyo; Korea Institute of Science and Technology Information; University of Massachusetts Amherst; Korea Institute of Science and Technology; Norges Teknisk-Naturvitenskapelige Universitet; Japan Society for the Promotion of Science; Academy of Finland; Ministry of Education, Culture, Sports, Science and Technology; National Institute of Advanced Industrial Science and Technology","keywords":"Computer science; Event (particle physics); Biomedical text mining; Interoperability; Service (business); Task (project management); Data mining; Extraction (chemistry); Information extraction; Information retrieval; Text mining; World Wide Web; Systems engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008919743,0.001532044,0.001526014,0.004514329,0.001153274,0.003908568,0.003278902,0.002257976,0.01718992],"category_scores_gemma":[0.02105384,0.0009219298,0.00173875,0.004234874,0.0006558629,0.006254327,0.003695045,0.001438875,0.006728555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671215,"about_ca_system_score_gemma":0.002730249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004294055,"about_ca_topic_score_gemma":0.003399448,"domain_scores_codex":[0.9966921,0.0007046589,0.0005347144,0.0006240432,0.001202534,0.0002420235],"domain_scores_gemma":[0.9882627,0.005147807,0.001112488,0.003191497,0.001658205,0.0006273083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009973699,0.001183189,0.03582818,0.003529948,0.001186798,0.002691794,0.002442427,0.01622619,0.04438313,0.04815237,0.3989523,0.43545],"study_design_scores_gemma":[0.001163363,0.000405888,0.0161456,0.0005142892,0.0004692353,0.002359299,0.001115393,0.2965636,0.1596764,0.05535438,0.4656315,0.0006010712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01753475,0.0005481894,0.4928669,0.0015732,0.0002571987,0.0007531167,0.03239492,0.4424699,0.01160181],"genre_scores_gemma":[0.247581,0.0007525967,0.606661,0.002499025,0.0003512333,0.001443325,0.1000858,0.03130346,0.00932248],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01718992,"threshold_uncertainty_score":0.05750602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833120254126558,"score_gpt":0.309137849162802,"score_spread":0.2258258237501461,"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."}}