{"id":"W2062347965","doi":"10.1089/cmb.2011.0133","title":"Listing All Parsimonious Reversal Sequences: New Algorithms and Perspectives","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorting; Perspective (graphical); Listing (finance); Computer science; Genome; Algorithm; Genomics; Sequence (biology); Theoretical computer science; Biology; Artificial intelligence; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005674236,0.002354351,0.002411754,0.003444853,0.001550965,0.004198713,0.005391127,0.003992606,0.00669678],"category_scores_gemma":[0.0274003,0.00118288,0.001798429,0.005557175,0.002904801,0.0160087,0.003001294,0.007219005,0.002350866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892208,"about_ca_system_score_gemma":0.002413338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643847,"about_ca_topic_score_gemma":0.003086488,"domain_scores_codex":[0.9956873,0.001848211,0.0002838952,0.0009375785,0.0009651943,0.0002777126],"domain_scores_gemma":[0.9767427,0.01841499,0.0008118663,0.002272103,0.001303343,0.0004548781],"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":[0.0005141596,0.0004687614,0.001999222,0.0006389758,0.0001128053,0.0001604271,0.0004878766,0.1438499,0.004014689,0.3294845,0.01136655,0.5069021],"study_design_scores_gemma":[0.0001299225,0.0001752081,0.0003241705,0.0001066153,0.00005284378,0.0003608702,0.0001733984,0.5680991,0.002302406,0.4154449,0.01275101,0.00007942981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01216164,0.004283227,0.9745185,0.002008443,0.0002755857,0.0001083835,0.0001410902,0.001289448,0.005213655],"genre_scores_gemma":[0.04996371,0.002595876,0.9425699,0.000548575,0.0006137212,0.0001567894,0.000427449,0.0005494571,0.002574635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00669678,"threshold_uncertainty_score":0.03000855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05445580679385164,"score_gpt":0.2847217622236303,"score_spread":0.2302659554297786,"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."}}