{"id":"W3122720315","doi":"10.3390/a14060169","title":"Sorting by Multi-Cut Rearrangements","year":2021,"lang":"en","type":"article","venue":"Algorithms","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; Providence Health Care","keywords":"Combinatorics; Parameterized complexity; String (physics); Multiset; Sorting; Permutation (music); Mathematics; Block (permutation group theory); Alphabet; Discrete mathematics; Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836282,0.0002025584,0.0001726171,0.00003008815,0.0001167213,0.00005198853,0.0002074042,0.0001387254,0.0001625011],"category_scores_gemma":[0.00008165705,0.000218713,0.0001140379,0.0001543929,0.0000469462,0.000005657721,0.0002146441,0.0001063862,0.0001359099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126301,"about_ca_system_score_gemma":0.00006137412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002102554,"about_ca_topic_score_gemma":0.00002035556,"domain_scores_codex":[0.9984765,0.00006409003,0.0002590993,0.0005481611,0.0002296485,0.0004225204],"domain_scores_gemma":[0.9991589,0.00000671347,0.00008622957,0.0004735697,0.0001473187,0.0001272572],"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":[0.000008824631,0.0002328073,0.002755881,0.00002020037,0.000199223,0.0000613618,0.00007195386,0.00001328925,0.9402368,0.000008542987,0.01912485,0.03726624],"study_design_scores_gemma":[0.002243444,0.0001593069,0.001523028,0.00002100086,0.00005638564,0.00008233418,0.0003508226,0.0009736693,0.6552901,0.00005101801,0.3386182,0.0006307351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563374,0.01829336,0.102483,0.001526729,0.0023049,0.001064089,0.0002887153,0.0002349996,0.01746677],"genre_scores_gemma":[0.7124993,0.003074442,0.1652831,0.00314642,0.002237494,0.0002630086,0.004735826,0.0003609178,0.1083995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194934,"threshold_uncertainty_score":0.8918859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653608025971589,"score_gpt":0.2673613106534354,"score_spread":0.2508252303937195,"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."}}