{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003158295,0.001561773,0.002019718,0.002220046,0.001642806,0.002342513,0.004189081,0.002490618,0.01063357],"category_scores_gemma":[0.009420035,0.0008485116,0.002329997,0.00287962,0.001299894,0.002908429,0.004528917,0.003021988,0.003708047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156054,"about_ca_system_score_gemma":0.001939224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966744,"about_ca_topic_score_gemma":0.002628486,"domain_scores_codex":[0.9977744,0.0004745171,0.000157525,0.0008173411,0.0005512506,0.0002248759],"domain_scores_gemma":[0.9949023,0.002006148,0.0002215427,0.002238279,0.0004482425,0.0001835907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002346661,0.0005014622,0.00455268,0.000794201,0.0004177943,0.000460934,0.0007096768,0.1575027,0.02991259,0.05165251,0.04357855,0.7075701],"study_design_scores_gemma":[0.0006459417,0.0003136097,0.00106078,0.00005618591,0.0001200826,0.000674239,0.0004058007,0.8249719,0.04629456,0.0936709,0.03170373,0.00008231971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04127913,0.0004854871,0.9396917,0.000449735,0.000213807,0.0003895154,0.002242725,0.01273672,0.002511178],"genre_scores_gemma":[0.06802652,0.0001030264,0.9214744,0.0001584506,0.0000410434,0.0002974589,0.006194982,0.001368651,0.002335418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063357,"threshold_uncertainty_score":0.03557277,"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."}}