{"id":"W2165336044","doi":"10.1186/1471-2105-11-304","title":"Scaffold filling, contig fusion and comparative gene order inference","year":2010,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome; Contig; Synteny; Biology; Computational biology; Phylogenetic tree; Comparative genomics; Hybrid genome assembly; DNA microarray; Gene; Genetics; Genomics","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":[0.004778394,0.001275282,0.001156168,0.002504291,0.001192381,0.001301333,0.002747813,0.001528409,0.004280318],"category_scores_gemma":[0.01642442,0.0008854442,0.001282462,0.00316518,0.001832535,0.001969842,0.001578221,0.001399388,0.001347731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572917,"about_ca_system_score_gemma":0.002248486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007057748,"about_ca_topic_score_gemma":0.00676712,"domain_scores_codex":[0.9978579,0.000818797,0.0000961943,0.0006552641,0.000433104,0.0001386584],"domain_scores_gemma":[0.992396,0.005556236,0.000488588,0.0009637421,0.0004430853,0.0001523684],"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":[0.001149664,0.0002280794,0.008385431,0.0006327376,0.0002203091,0.0002785633,0.0005442636,0.494918,0.01817949,0.04320803,0.005306785,0.4269487],"study_design_scores_gemma":[0.00007666143,0.0001193798,0.001612198,0.00002919366,0.00004980554,0.0002446265,0.00005344027,0.9331757,0.01129981,0.04929386,0.004016215,0.00002910495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02227728,0.0001738729,0.972993,0.00007577213,0.00001767405,0.00004219333,0.000305366,0.003365574,0.0007493222],"genre_scores_gemma":[0.1454637,0.0001084961,0.8514787,0.00007195514,0.00002594694,0.0001215614,0.001503945,0.0003874802,0.0008381241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007057748,"threshold_uncertainty_score":0.02527088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726078651022239,"score_gpt":0.2693409206502985,"score_spread":0.2420801341400761,"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."}}