{"id":"W2156923845","doi":"10.1093/bioinformatics/btn146","title":"Guided genome halving: hardness, heuristics and the history of the Hemiascomycetes","year":2008,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Genome; Ancestor; Heuristics; Computer science; Event (particle physics); Genome evolution; Heuristic; Biology; Evolutionary biology; Computational biology; Genetics; Gene; Artificial intelligence; Physics","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":[0.001409199,0.0005387099,0.0006737949,0.0008392296,0.001046429,0.00181934,0.001441444,0.00103286,0.003622536],"category_scores_gemma":[0.007530541,0.0004025119,0.0007847692,0.0009843165,0.0009515909,0.001681644,0.0009784078,0.001291331,0.0005366573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414883,"about_ca_system_score_gemma":0.0008912312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613782,"about_ca_topic_score_gemma":0.004994892,"domain_scores_codex":[0.9996761,0.0001134825,0.0000198769,0.00008352709,0.00006451395,0.00004251123],"domain_scores_gemma":[0.9971343,0.002070921,0.0002201614,0.0002678676,0.000186902,0.0001198796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006123274,0.0001609853,0.02109708,0.0004447242,0.00008142998,0.0003207112,0.0006071667,0.808757,0.01644,0.04187852,0.004495515,0.1051044],"study_design_scores_gemma":[0.00008026784,0.00009622087,0.005358957,0.00008604841,0.00005671236,0.0002258009,0.000365342,0.9121782,0.01496639,0.06228257,0.004260623,0.00004281584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6680759,0.001336976,0.3164803,0.001039576,0.00004951643,0.0001083872,0.001021114,0.00209208,0.009796258],"genre_scores_gemma":[0.6703309,0.0006245186,0.3231971,0.0002572694,0.00001989883,0.0001343875,0.002560941,0.0006241551,0.002250837],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003622536,"threshold_uncertainty_score":0.01211858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873438663246386,"score_gpt":0.2011657683524296,"score_spread":0.1824313817199657,"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."}}