{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01204872,0.0003324616,0.0009575534,0.001895251,0.000664956,0.001515392,0.001406722,0.001265611,0.0009499282],"category_scores_gemma":[0.08644886,0.0005198504,0.0007985168,0.001808678,0.002364228,0.003118256,0.003026743,0.001073283,0.0002126979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129684,"about_ca_system_score_gemma":0.001054656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783251,"about_ca_topic_score_gemma":0.00203846,"domain_scores_codex":[0.9938155,0.003305222,0.0003505233,0.0009186983,0.001281581,0.0003283197],"domain_scores_gemma":[0.9309328,0.05494777,0.00476557,0.006950233,0.001865397,0.0005383703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009618098,0.0001198765,0.0691807,0.0002552484,0.0003098497,0.0003188395,0.001283073,0.6403276,0.01415548,0.1380577,0.0004778342,0.1345519],"study_design_scores_gemma":[0.0000681734,0.0001732384,0.006828503,0.00004468048,0.00007447339,0.00038689,0.0001240794,0.86805,0.01259139,0.1099534,0.001648785,0.00005626465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5002304,0.0006078393,0.4970161,0.0002615924,0.00001541256,0.00006720014,0.00005286721,0.0004540985,0.001294521],"genre_scores_gemma":[0.9128792,0.0002766566,0.0858002,0.00008455046,0.00001904541,0.00008932216,0.0001455901,0.0001345937,0.0005709043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204872,"threshold_uncertainty_score":0.06372046,"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."}}