{"id":"W1596946737","doi":"10.1007/11864127_10","title":"Ordering Partially Assembled Genomes Using Gene Arrangements","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Contig; Genome; Impossibility; Breakpoint; Set (abstract data type); Computational biology; Graph; Biology; Bacterial genome size; Combinatorics; Computer science; Genetics; Theoretical computer science; Gene; Mathematics; Chromosome","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":[0.0004010851,0.0008298703,0.001189228,0.001533648,0.0008799302,0.001544147,0.001278714,0.0005848308,0.006673036],"category_scores_gemma":[0.002673998,0.0009351207,0.001038279,0.00326259,0.0005965542,0.00231071,0.00096748,0.00103115,0.001425532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647989,"about_ca_system_score_gemma":0.0008111359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198405,"about_ca_topic_score_gemma":0.006782948,"domain_scores_codex":[0.9996706,0.00007884955,0.00002878644,0.00009248826,0.00008747874,0.00004170371],"domain_scores_gemma":[0.998672,0.0007775335,0.00009079397,0.0002583395,0.0001370423,0.0000643188],"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":[0.0009163018,0.0002047496,0.004129948,0.001225805,0.0001211837,0.0006408645,0.000889776,0.1844143,0.06701665,0.08568174,0.0113045,0.6434542],"study_design_scores_gemma":[0.0001147998,0.0002884693,0.001430794,0.0001446914,0.0001231624,0.0003900385,0.0004232332,0.6891086,0.04664513,0.2324838,0.02875959,0.00008764696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09776565,0.0006800048,0.8873314,0.0002295205,0.0001504977,0.0001758921,0.001776166,0.006634674,0.005256233],"genre_scores_gemma":[0.1300517,0.0005534443,0.8618395,0.00005886534,0.0000412768,0.0001403714,0.003879529,0.0009936639,0.002441699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006673036,"threshold_uncertainty_score":0.02232355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878770852273043,"score_gpt":0.2498725694573005,"score_spread":0.2310848609345701,"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."}}