{"id":"W2057331967","doi":"10.1142/9781848161092_0025","title":"GENOME HALVING WITH DOUBLE CUT AND JOIN","year":2007,"lang":"en","type":"article","venue":"","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Join (topology); Computer science; Genome; Genetics; Biology; Mathematics; Combinatorics; Gene","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":[0.00357208,0.001329833,0.001924525,0.00207847,0.00163259,0.002144626,0.003902574,0.002209775,0.01435843],"category_scores_gemma":[0.01132365,0.0009998297,0.001867014,0.001921616,0.001355865,0.003025812,0.004782091,0.003272549,0.003076535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009924845,"about_ca_system_score_gemma":0.00187373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170446,"about_ca_topic_score_gemma":0.00290731,"domain_scores_codex":[0.9980384,0.0005649775,0.0001079309,0.0005035875,0.0005709908,0.0002142702],"domain_scores_gemma":[0.9946647,0.002653549,0.0001867605,0.001691398,0.0005753743,0.0002283172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002217508,0.0003326724,0.002277444,0.0003821721,0.0002683478,0.0002289284,0.000635062,0.1646875,0.01522012,0.06296629,0.02328512,0.7274988],"study_design_scores_gemma":[0.0002996815,0.0002022987,0.0003633475,0.00004782916,0.00009541163,0.000172028,0.0001983224,0.8725774,0.0196652,0.09444103,0.01189677,0.00004054078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02115178,0.0002813311,0.9677394,0.0003182144,0.000150121,0.0001572902,0.0004088503,0.006784673,0.003008296],"genre_scores_gemma":[0.09103671,0.00007427065,0.9032471,0.0001447396,0.00004731337,0.0002301865,0.001287343,0.001430678,0.002501573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435843,"threshold_uncertainty_score":0.04803371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00876260397656052,"score_gpt":0.2260430100548089,"score_spread":0.2172804060782484,"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."}}