{"id":"W1150682613","doi":"10.1007/978-3-540-68993-5_18","title":"Genomic Data Visualization: The Bluejay System","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Genome; Context (archaeology); Genomics; Set (abstract data type); Computer science; Data visualization; Software; Genome browser; Computational biology; Comparative genomics; Data science; Biology; Data mining; Gene; Genetics","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":[0.003112945,0.002184237,0.001737612,0.003607449,0.001005707,0.004664503,0.004389337,0.001479255,0.06919643],"category_scores_gemma":[0.00637925,0.001675361,0.001884383,0.002484422,0.000754762,0.003152179,0.004582907,0.003112985,0.03194594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000687821,"about_ca_system_score_gemma":0.001358259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286674,"about_ca_topic_score_gemma":0.00367828,"domain_scores_codex":[0.998953,0.0002215925,0.00009971634,0.0002459031,0.0003799635,0.00009978082],"domain_scores_gemma":[0.9971732,0.001413817,0.0001465995,0.0005954441,0.0004083285,0.0002625841],"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":[0.0006907367,0.0001117007,0.0009791421,0.001188523,0.0002945847,0.0003548411,0.0004821485,0.002655127,0.01124529,0.01705435,0.715589,0.2493546],"study_design_scores_gemma":[0.0007021896,0.00009119291,0.002473489,0.0005874993,0.0002153257,0.001076349,0.0002380458,0.08778646,0.03887244,0.102002,0.7656479,0.0003070241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001305647,0.0008134588,0.496797,0.0006898431,0.0004193219,0.0001844983,0.01660424,0.4743671,0.008818756],"genre_scores_gemma":[0.02185648,0.001780601,0.7967594,0.001561462,0.000268622,0.001135184,0.04110934,0.1169226,0.0186063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06919643,"threshold_uncertainty_score":0.2314851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392867823745519,"score_gpt":0.2942547441326516,"score_spread":0.2503260658951963,"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."}}