{"id":"W2562995081","doi":"10.1186/s12859-016-1340-y","title":"Compromise or optimize? The breakpoint anti-median","year":2016,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome; Compromise; Phylogenetic tree; Generality; Biology; Adjacency list; Computational biology; Computer science; Data mining; Mathematics; Algorithm; Genetics; Gene","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":[0.003824696,0.0007201593,0.001143758,0.0008953588,0.0007881529,0.001427132,0.001869729,0.001551654,0.005449675],"category_scores_gemma":[0.01298692,0.0005904579,0.0009106797,0.0009678703,0.001804129,0.00408137,0.003610773,0.002078695,0.001019213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109606,"about_ca_system_score_gemma":0.000666453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004588775,"about_ca_topic_score_gemma":0.0004870159,"domain_scores_codex":[0.9981968,0.0007199761,0.0000861685,0.0004620106,0.0003826172,0.000152518],"domain_scores_gemma":[0.995002,0.003149017,0.0004276763,0.0008658987,0.000330076,0.0002252344],"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":[0.0008752971,0.0002677001,0.008729014,0.0003976732,0.0002171456,0.0001761906,0.0008288221,0.4579757,0.01362782,0.2686903,0.006745204,0.2414692],"study_design_scores_gemma":[0.00008467433,0.0004082369,0.001152232,0.00009372773,0.00006048851,0.0002772454,0.0002461701,0.6943236,0.01016,0.2835493,0.009609006,0.00003527759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07971445,0.0004005427,0.9129457,0.0008224173,0.00004288555,0.00007353984,0.0001382228,0.0005558747,0.005306346],"genre_scores_gemma":[0.5052973,0.0002982303,0.4891855,0.0005961512,0.00008817037,0.0002208924,0.0004600114,0.0004880106,0.003365678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005449675,"threshold_uncertainty_score":0.02022719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001011848846677,"score_gpt":0.2385707755167301,"score_spread":0.2185606570282633,"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."}}