{"id":"W1567305107","doi":"10.1007/978-3-540-87989-3_12","title":"Perfect DCJ Rearrangement","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sorting; Computer science; Combinatorics; Separable space; Join (topology); Mathematics; Algorithm","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":[0.0003179805,0.0003818597,0.0002834275,0.000258288,0.0001414754,0.00006416211,0.0008198093,0.000297466,0.00009614971],"category_scores_gemma":[0.00003429273,0.0003609965,0.0001330918,0.0001275213,0.0004895661,0.000005582451,0.0005577471,0.0003069086,0.00006362097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009899928,"about_ca_system_score_gemma":0.0002426259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009294293,"about_ca_topic_score_gemma":0.00003550317,"domain_scores_codex":[0.997704,0.00001814722,0.000263054,0.001040776,0.0005151476,0.0004588531],"domain_scores_gemma":[0.9987938,0.00002176948,0.0001176273,0.0008306589,0.0001260368,0.0001101449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004046868,0.00007364237,0.0003326084,0.0000787173,0.00009392738,0.0001543936,0.0004475496,0.009373872,0.05248424,0.0000957673,0.001187481,0.9356374],"study_design_scores_gemma":[0.002859489,0.003286596,0.00206503,0.0007047189,0.0001032147,0.00068581,0.000001124493,0.01780703,0.08443515,0.007702828,0.8755788,0.004770186],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005473274,0.005099617,0.9609597,0.0003986667,0.001700857,0.0008511156,0.00002009189,0.0000548167,0.02544181],"genre_scores_gemma":[0.6352876,0.00840841,0.3118376,0.005098387,0.008775671,0.00009667071,0.0004603294,0.0004513787,0.02958393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9308671,"threshold_uncertainty_score":0.9998842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316899368788779,"score_gpt":0.2307467050742853,"score_spread":0.2175777113863975,"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."}}