{"id":"W2952313717","doi":"10.1142/s1793830911001280","title":"AVERAGE-CASE ANALYSIS OF PERFECT SORTING BY REVERSALS","year":2011,"lang":"en","type":"preprint","venue":"Discrete Mathematics Algorithms and Applications","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Agence Nationale de la Recherche","keywords":"Permutation (music); Sorting; Mathematics; Combinatorics; Sequence (biology); Interval (graph theory); Class (philosophy); Identity (music); Discrete mathematics; Computer science; Algorithm; Physics","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":[0.0003619135,0.0003302165,0.0005854832,0.0001755877,0.0001229307,0.00005414237,0.0002909021,0.0002834086,0.00005543198],"category_scores_gemma":[0.00003121732,0.0003192465,0.0003305558,0.0002729842,0.0001271615,0.000003464306,0.0006069219,0.0001886037,0.00000389475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001313105,"about_ca_system_score_gemma":0.00003979827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000745569,"about_ca_topic_score_gemma":0.00001037488,"domain_scores_codex":[0.9982862,0.00003631175,0.000622612,0.0006336694,0.0001795842,0.0002415956],"domain_scores_gemma":[0.9981759,0.00002990686,0.0005982501,0.0009256021,0.0001505106,0.0001198533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001300055,0.007281496,0.008586027,0.01666132,0.09429369,0.0001937569,0.02095393,0.01252142,0.5960395,0.03327396,0.01107906,0.1989858],"study_design_scores_gemma":[0.006177031,0.001646798,0.002229593,0.001140071,0.06051506,0.0009018341,0.01186841,0.5334225,0.226988,0.08087213,0.06078034,0.01345825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1978086,0.003607579,0.7903875,0.00006753385,0.00006294441,0.002035926,0.002175587,0.00004657413,0.003807756],"genre_scores_gemma":[0.8742527,0.002396971,0.1153653,0.00005477944,0.0002765611,0.001365555,0.004520497,0.000139695,0.001627972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6764441,"threshold_uncertainty_score":0.999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799824759812478,"score_gpt":0.2727716805417889,"score_spread":0.2547734329436641,"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."}}