{"id":"W4320817603","doi":"10.1093/bioinformatics/btad087","title":"Generalizations of the genomic rank distance to indels","year":2023,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Foreign, Commonwealth and Development Office; Fundação de Amparo à Pesquisa do Estado de São Paulo; Medical Research Council; Alfred P. Sloan Foundation","keywords":"Indel; Rank (graph theory); Computer science; Genetics; Biology; Computational biology; Mathematics; Combinatorics; Single-nucleotide polymorphism; Gene; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002381563,0.000837906,0.00089406,0.003195466,0.0007779451,0.002202318,0.00252378,0.001250568,0.005515017],"category_scores_gemma":[0.02033947,0.0004513679,0.001049294,0.004795299,0.001433625,0.003993329,0.002077083,0.002349369,0.002034663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153302,"about_ca_system_score_gemma":0.001085632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635528,"about_ca_topic_score_gemma":0.002630592,"domain_scores_codex":[0.9973128,0.00065212,0.0001991562,0.0008345126,0.0008483085,0.0001531224],"domain_scores_gemma":[0.9894249,0.005399158,0.001071476,0.002043588,0.001672362,0.000388449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004790316,0.0002044724,0.01759584,0.001230722,0.0002339203,0.0006940574,0.0005425665,0.3193198,0.01143306,0.2801562,0.01725469,0.3508556],"study_design_scores_gemma":[0.00007077055,0.0001786358,0.0045948,0.0001214608,0.00006359757,0.001158025,0.000170051,0.5143614,0.009308556,0.4428183,0.02702911,0.0001253384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03947822,0.001202334,0.9484487,0.0004483757,0.0001804944,0.000100633,0.002058252,0.002363665,0.005719473],"genre_scores_gemma":[0.2835481,0.001387035,0.7027293,0.0005032216,0.0003606916,0.000263797,0.005017894,0.001164031,0.005025797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005515017,"threshold_uncertainty_score":0.01844954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347724821007025,"score_gpt":0.2389549226618568,"score_spread":0.2254776744517865,"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."}}