{"id":"W2139251761","doi":"10.1186/1471-2105-13-s19-s8","title":"A consolidation algorithm for genomes fractionated after higher order polyploidization","year":2012,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Deutscher Akademischer Austauschdienst","keywords":"Genome; Algorithm; Gene duplication; Consolidation (business); Biology; Fractionation; Computer science; Computational biology; Gene; Genetics; Chemistry","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":[0.002005139,0.0008116288,0.0009589978,0.001542931,0.00075513,0.001262272,0.002301067,0.001281063,0.003543734],"category_scores_gemma":[0.006960812,0.0005514385,0.0009467906,0.002099624,0.0007143466,0.001895768,0.002033596,0.001278646,0.001257211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069744,"about_ca_system_score_gemma":0.002219167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004302104,"about_ca_topic_score_gemma":0.004195051,"domain_scores_codex":[0.9992206,0.0001518433,0.0001065451,0.0002473354,0.0001763439,0.00009743278],"domain_scores_gemma":[0.995752,0.002029534,0.0004665666,0.0007200391,0.0008364189,0.0001954683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000707857,0.0002313963,0.008157827,0.0002104071,0.0001576611,0.0001493066,0.0004291301,0.1407147,0.02583245,0.009997276,0.005513152,0.8078989],"study_design_scores_gemma":[0.0001272173,0.0001065476,0.001388895,0.0000194759,0.00004047819,0.0001347043,0.00006789796,0.976253,0.009634549,0.007957624,0.004251272,0.00001839761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04684609,0.0002900934,0.9479319,0.0001729454,0.00004226237,0.0001932334,0.000164112,0.003747465,0.0006119849],"genre_scores_gemma":[0.1171492,0.00009639037,0.8799098,0.0001302033,0.00002980188,0.0002933765,0.001076292,0.0003636762,0.0009512277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004302104,"threshold_uncertainty_score":0.01185495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557347247331774,"score_gpt":0.2546698865780523,"score_spread":0.2390964141047346,"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."}}