{"id":"W1991265331","doi":"10.1142/s0219720012400082","title":"A FAST METHOD FOR LARGE-SCALE MULTICHROMOSOMAL BREAKPOINT MEDIAN PROBLEMS","year":2011,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breakpoint; Computer science; Scale (ratio); Algorithm; Mathematics; Biology; Chromosome; Genetics; Cartography; Geography","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":[0.0004582802,0.0001160347,0.0001983138,0.00009335075,0.00006352345,0.0000143148,0.0001301335,0.0001104333,0.00001483905],"category_scores_gemma":[0.00003636201,0.00009153347,0.0001039393,0.00004606853,0.00004814943,0.00001020687,0.0000669574,0.00007067479,0.000002392367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008435826,"about_ca_system_score_gemma":0.00007335009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002565785,"about_ca_topic_score_gemma":0.00000674138,"domain_scores_codex":[0.9991099,0.00003243161,0.0004890543,0.00009508143,0.00008363069,0.0001898604],"domain_scores_gemma":[0.999146,0.00003600683,0.0003540733,0.00007231156,0.0002917652,0.00009988614],"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":[0.002838537,0.003448014,0.0361126,0.002024817,0.005639616,0.00003012574,0.04649925,0.01323317,0.1930772,0.02264339,0.009166378,0.6652869],"study_design_scores_gemma":[0.01744986,0.01468851,0.02122617,0.0001629046,0.000403651,0.00262654,0.005624027,0.7985427,0.01750525,0.05489432,0.06535731,0.001518758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07101673,0.0002619103,0.9277104,0.000176337,0.0001899596,0.0002228383,0.00008524699,0.000003759378,0.0003328507],"genre_scores_gemma":[0.1978659,0.00007801286,0.8014511,0.0002517861,0.0001788716,0.000009488769,0.0001252899,0.00001076339,0.00002885834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7853096,"threshold_uncertainty_score":0.3732627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527779111551636,"score_gpt":0.2636110825953793,"score_spread":0.2483332914798629,"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."}}