{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003499262,0.0004240807,0.0003273576,0.0002777258,0.0001535312,0.0001473202,0.0007687055,0.0002878035,0.00002584918],"category_scores_gemma":[0.00001622652,0.0004322488,0.0001139608,0.0001587567,0.0001926299,0.00001028669,0.0006053746,0.0002299432,0.00001309962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258973,"about_ca_system_score_gemma":0.0002678633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120769,"about_ca_topic_score_gemma":0.00009266713,"domain_scores_codex":[0.9975495,0.0000185531,0.0003584563,0.001034698,0.0004797534,0.0005590536],"domain_scores_gemma":[0.9988827,0.00001562504,0.0001883565,0.0006769111,0.0001445919,0.00009178508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002012907,0.00005091157,0.001133875,0.00006744618,0.00009337061,0.00007064128,0.00007815672,0.2380958,0.5984383,0.00003142943,0.00004989674,0.1618701],"study_design_scores_gemma":[0.003268407,0.001149542,0.001497785,0.000665012,0.0002308847,0.0002230349,9.010716e-7,0.3065842,0.6064283,0.01188341,0.0627768,0.005291694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01823164,0.002056089,0.9764796,0.00004681194,0.0008059851,0.0004034438,0.000008748141,0.00002561965,0.001942061],"genre_scores_gemma":[0.5594789,0.0003793886,0.433792,0.0007582364,0.003449203,0.00002199622,0.0001826138,0.0002025361,0.001735187],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5426877,"threshold_uncertainty_score":0.9998129,"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."}}