{"id":"W1988405029","doi":"10.1142/s0219720009004102","title":"GENOME HALVING WITH DOUBLE CUT AND JOIN","year":2009,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Royal Society of Canada","keywords":"Join (topology); Reciprocal; Genome; Context (archaeology); Computer science; Block (permutation group theory); Combinatorics; Mathematics; Algorithm; Genetics; Biology; 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":[0.0001603178,0.0000872258,0.0001367429,0.00007860254,0.00005360661,0.0000296346,0.00006365028,0.00005665355,0.000003072023],"category_scores_gemma":[0.000006607359,0.00006304112,0.00002711649,0.00004264611,0.00006131492,0.00001051612,0.00002939377,0.00006446496,9.496476e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005728385,"about_ca_system_score_gemma":0.00004612316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.410517e-7,"about_ca_topic_score_gemma":6.408018e-7,"domain_scores_codex":[0.9994698,0.00001115856,0.000267875,0.00006587486,0.00007420843,0.0001111433],"domain_scores_gemma":[0.999534,0.00001055538,0.0002099182,0.00004810983,0.0001295077,0.00006795111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004626334,0.001015873,0.05920548,0.0005577978,0.003042361,0.0001067997,0.005534077,0.03317072,0.469451,0.02573497,0.002516348,0.3950383],"study_design_scores_gemma":[0.03951003,0.04588672,0.6393629,0.0003306172,0.0005519404,0.01613697,0.003046612,0.06384016,0.01342761,0.05154737,0.1231244,0.003234702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672565,0.001055841,0.03044087,0.0005145476,0.00004695988,0.00007767787,0.000004613753,0.00000253425,0.0006003969],"genre_scores_gemma":[0.9609852,0.0002951106,0.03821881,0.0003173319,0.0001162046,5.122026e-7,0.00003515781,0.000003888546,0.00002780961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5801574,"threshold_uncertainty_score":0.2570742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007831224378292838,"score_gpt":0.231936087837947,"score_spread":0.2241048634596542,"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."}}