{"id":"W2065107263","doi":"10.1002/pmic.201400320","title":"VennDIS: A JavaFX‐based Venn and Euler diagram software to generate publication quality figures","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Venn diagram; Computer science; Software; Quality (philosophy); Diagram; World Wide Web; Information retrieval; Database; Mathematics; Programming language; Mathematics education; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01068578,0.001778465,0.001657185,0.008480342,0.001050989,0.003124416,0.002991681,0.001218111,0.08757421],"category_scores_gemma":[0.02705001,0.001830822,0.001806715,0.005235029,0.0005171445,0.003543019,0.002647173,0.002367376,0.02346453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018126,"about_ca_system_score_gemma":0.003351865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172687,"about_ca_topic_score_gemma":0.002979058,"domain_scores_codex":[0.9966736,0.000977169,0.0005753711,0.0006176063,0.0009972216,0.0001589702],"domain_scores_gemma":[0.985356,0.009246817,0.001314364,0.001332813,0.002260139,0.0004897935],"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":[0.001209272,0.0001856596,0.005931824,0.006833523,0.0006431127,0.0005886526,0.001285973,0.008097684,0.0176651,0.02895387,0.5980455,0.3305598],"study_design_scores_gemma":[0.0005362459,0.0001824985,0.005263358,0.001154677,0.0002548907,0.00100638,0.0002181502,0.05077711,0.0297495,0.03720956,0.8732556,0.0003920177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003592571,0.0009628219,0.6340449,0.0005439464,0.0009185594,0.0009564277,0.0532304,0.2951804,0.01057],"genre_scores_gemma":[0.01456377,0.0007969768,0.8645102,0.0003502417,0.0002034989,0.002327585,0.05044048,0.05948798,0.007319293],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08757421,"threshold_uncertainty_score":0.2929649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141553307730704,"score_gpt":0.2923740203773332,"score_spread":0.2709584873000261,"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."}}