{"id":"W2003921372","doi":"10.1089/cmb.2005.12.812","title":"Chromosomal Breakpoint Reuse in Genome Sequence Rearrangement","year":2005,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Breakpoint; Genome; Biology; Computational biology; Sequence (biology); Genetics; Identification (biology); Gene; Reuse; Computer science; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881768,0.0001131454,0.0001828041,0.0001484906,0.00002590251,0.00001061017,0.0003190193,0.00009488298,0.00006107488],"category_scores_gemma":[0.00007371444,0.0001022578,0.00008930333,0.00009542904,0.00007024338,0.00000801391,0.0001065932,0.0001233711,0.00002262037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007023803,"about_ca_system_score_gemma":0.0001353856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000407545,"about_ca_topic_score_gemma":0.00001006682,"domain_scores_codex":[0.998946,0.00009314562,0.0004659198,0.0001662381,0.0001352311,0.000193531],"domain_scores_gemma":[0.9993089,0.00002272528,0.0002456901,0.0001563602,0.0001972484,0.00006911594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001610849,0.0001974242,0.005282579,0.00001054766,0.0001245722,0.00002998872,0.0001456166,0.04762824,0.9365019,0.0002972392,0.0007970422,0.008823771],"study_design_scores_gemma":[0.01164157,0.006157984,0.2575446,0.0001129868,0.00009496191,0.003005149,0.0002220705,0.004573222,0.03579548,0.01986405,0.659637,0.001350906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930198,0.0009922354,0.003449901,0.001944291,0.0001818171,0.0001008307,0.0000181453,0.000003314719,0.0002896459],"genre_scores_gemma":[0.9742996,0.0001583763,0.02436478,0.0003665425,0.0006155935,0.000003431303,0.00009132839,0.00001077662,0.0000895772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9007064,"threshold_uncertainty_score":0.4169953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606047862208839,"score_gpt":0.2841884439062238,"score_spread":0.2681279652841354,"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."}}