{"id":"W1582188219","doi":"10.1007/978-3-540-32290-0_9","title":"Estimators of Translocations and Inversions in Comparative Maps","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Kempe Foundation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Estimator; Divergence (linguistics); Chromosome; Chromosomal translocation; Genome; Evolutionary biology; Biology; Genetics; Mathematics; Statistics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001522668,0.0001655523,0.0002076243,0.0002538124,0.00003954049,0.00001613226,0.0002871868,0.0001447678,0.000008560677],"category_scores_gemma":[0.00001172711,0.000162768,0.00003457344,0.0001290467,0.0004978667,0.000005635934,0.0001395836,0.0001574417,0.000002271257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003050338,"about_ca_system_score_gemma":0.0001429083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004758,"about_ca_topic_score_gemma":0.0002420804,"domain_scores_codex":[0.9990405,0.00001151158,0.0002006214,0.0004208767,0.0001616963,0.0001647234],"domain_scores_gemma":[0.9995262,0.00003013116,0.00007391835,0.0002574849,0.00006190983,0.00005035495],"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":[0.00009998467,0.0003609087,0.007618431,0.0003598364,0.000167624,0.00003672325,0.009299005,0.2248067,0.1143062,0.004061411,0.0003237873,0.6385593],"study_design_scores_gemma":[0.01017765,0.004086815,0.02371599,0.003609671,0.0002682496,0.0002941586,0.00004397791,0.4190053,0.3656535,0.1032003,0.06257344,0.007370987],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03572612,0.002745946,0.9564541,0.0005969055,0.0002808503,0.0006534563,0.00004432424,0.00001143342,0.003486843],"genre_scores_gemma":[0.9008233,0.0001931888,0.09847151,0.0001774401,0.000105406,0.000005796926,0.00004116591,0.00001380022,0.0001684213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8650972,"threshold_uncertainty_score":0.6637489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789364534163833,"score_gpt":0.2580672836086085,"score_spread":0.2401736382669701,"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."}}