{"id":"W2034369306","doi":"10.1089/cmb.2011.0136","title":"Genome Halving and Double Distance with Losses","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Genome; Gene duplication; Tree (set theory); Phylogenetic tree; Gene; Gene rearrangement; Biology; Combinatorics; Genome evolution; Node (physics); Segmental duplication; Genetics; Mathematics; Computational biology; Computer science; Gene family; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001171792,0.00007234343,0.0001104241,0.00004739039,0.0000337614,0.000007912195,0.00009006288,0.00004309385,0.00002044235],"category_scores_gemma":[0.000007857102,0.00005397489,0.00002885128,0.00003876776,0.00009886693,0.00000487695,0.00003217465,0.00005291127,0.000001778176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006698659,"about_ca_system_score_gemma":0.00005277492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002349561,"about_ca_topic_score_gemma":0.000002504905,"domain_scores_codex":[0.9995461,0.00002261561,0.0001701177,0.0001017972,0.00005995041,0.00009945189],"domain_scores_gemma":[0.9995472,0.00001140747,0.0001670309,0.00005255518,0.0001732399,0.00004858911],"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":[0.004472649,0.0006249044,0.327555,0.0001262777,0.001833503,0.0001536494,0.001470857,0.007373054,0.6301847,0.01260966,0.0003913425,0.01320442],"study_design_scores_gemma":[0.01034483,0.008770831,0.8533735,0.00007692255,0.0001781738,0.003276043,0.000461768,0.0003179636,0.03477134,0.02984853,0.05760258,0.0009775036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388344,0.001522682,0.05881216,0.00007946442,0.00006276229,0.00004879668,0.000004333534,0.000002041593,0.0006334008],"genre_scores_gemma":[0.9773744,0.00008935715,0.02227923,0.00005814066,0.0001236894,0.000001126498,0.00001674412,0.000006803401,0.00005054797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5954134,"threshold_uncertainty_score":0.2201032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705976222796272,"score_gpt":0.2412856655203985,"score_spread":0.2242259032924357,"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."}}