{"id":"W2146158248","doi":"10.1093/bioinformatics/bth934","title":"Genomic features in the breakpoint regions between syntenic blocks","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Breakpoint; Synteny; Genome; Biology; Genetics; Computational biology; Event (particle physics); Chromosome; Chromosomal inversion; Gene; Karyotype; 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":[0.0002721447,0.0001577973,0.0003252528,0.001903269,0.0003689118,0.0004726929,0.0003449515,0.0004151911,0.002643586],"category_scores_gemma":[0.002050806,0.0002230626,0.0002134086,0.001821805,0.0004185071,0.0004668999,0.0005993559,0.0003355279,0.0005652264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594671,"about_ca_system_score_gemma":0.0001244491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006265031,"about_ca_topic_score_gemma":0.0009664301,"domain_scores_codex":[0.9997628,0.00002847264,0.00002326091,0.0001083239,0.00004771705,0.00002942603],"domain_scores_gemma":[0.9979129,0.0009459227,0.0007404491,0.0001732422,0.0001012748,0.0001262127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00194184,0.0001161252,0.2505248,0.0007832345,0.0002975225,0.002980847,0.001980755,0.00505858,0.6939289,0.003691827,0.0003948798,0.03830075],"study_design_scores_gemma":[0.0000651973,0.0002848747,0.944011,0.00005358393,0.0002432864,0.004348979,0.0003335798,0.004928939,0.03682231,0.005570769,0.003304648,0.0000328126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936979,0.0003689061,0.004740158,0.00002072461,0.000001680716,0.00001518026,0.0005211497,0.00006669615,0.0005676186],"genre_scores_gemma":[0.9950818,0.00007077413,0.003077254,0.00001690983,0.000007170021,0.00001798307,0.00151038,0.00002231233,0.0001954692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002643586,"threshold_uncertainty_score":0.00884366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219079358036712,"score_gpt":0.2293164081160505,"score_spread":0.2171256145356834,"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."}}