{"id":"W4251061433","doi":"10.1177/117693430800400004","title":"The ABCs of MGR with DCJ","year":2008,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reciprocal; Genome; Computer science; Block (permutation group theory); Transposition (logic); Metric (unit); Algorithm; Computational biology; Theoretical computer science; Biology; Mathematics; Combinatorics; Genetics; Artificial intelligence; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002940372,0.000527269,0.001286088,0.002012028,0.001219631,0.002768982,0.002380966,0.002050538,0.01965209],"category_scores_gemma":[0.02162492,0.0003969943,0.000754396,0.0023643,0.001723921,0.003249535,0.002599196,0.001992663,0.002187529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307047,"about_ca_system_score_gemma":0.001837685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006443439,"about_ca_topic_score_gemma":0.005178398,"domain_scores_codex":[0.9982749,0.0006146126,0.0001012677,0.0002993435,0.0005238498,0.0001859547],"domain_scores_gemma":[0.993356,0.004066451,0.0004166459,0.0008774285,0.0009607641,0.0003228335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001127118,0.00006352854,0.00143429,0.0001340765,0.00002802247,0.00007313778,0.00009648554,0.07658148,0.000457337,0.7884781,0.01189006,0.1206507],"study_design_scores_gemma":[0.00005469828,0.00004614485,0.0004549769,0.00003840079,0.00001948492,0.0001342424,0.00005279304,0.5966398,0.0004724622,0.3898955,0.01217366,0.00001789368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.131114,0.003259079,0.7065641,0.006561382,0.0005859953,0.0002683171,0.0006575548,0.001158712,0.1498308],"genre_scores_gemma":[0.6069858,0.001166646,0.3540953,0.0012164,0.0004568846,0.0003143883,0.0009331768,0.000526995,0.0343044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01965209,"threshold_uncertainty_score":0.06574279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007014163308789451,"score_gpt":0.1911319109057812,"score_spread":0.1841177475969917,"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."}}