{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173474,0.000121024,0.0001495068,0.00002072736,0.00009615393,0.000007450863,0.0003089509,0.0000732191,0.000009945221],"category_scores_gemma":[0.0001476332,0.00007071679,0.00008977245,0.00005213173,0.0006020422,0.000004591343,0.0002475285,0.00007143019,0.000005170099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003530145,"about_ca_system_score_gemma":0.0001360175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009417969,"about_ca_topic_score_gemma":0.000001616943,"domain_scores_codex":[0.9992376,0.00003149244,0.0003163452,0.00008591053,0.0001742629,0.0001543875],"domain_scores_gemma":[0.9991925,0.000016789,0.0001941551,0.0004739988,0.0000858456,0.00003675767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005071972,0.000456035,0.0473452,0.00217299,0.001545904,0.00001398112,0.03236815,0.0006102201,0.2297671,0.004984159,0.6721352,0.008093805],"study_design_scores_gemma":[0.004496999,0.0001608202,0.0209322,0.00004168945,0.0001525057,0.000286234,0.0006772723,0.006485169,0.01332061,0.0002273591,0.9526491,0.0005700146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318854,0.02120781,0.004393684,0.001109432,0.002432516,0.001576098,0.00008205777,0.00004726432,0.03726578],"genre_scores_gemma":[0.975642,0.002808633,0.009267862,0.0007933566,0.0002102185,0.00002465503,0.00005219569,0.00003136987,0.01116967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805139,"threshold_uncertainty_score":0.2883747,"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."}}