{"id":"W4283267624","doi":"10.1186/s12859-022-04790-z","title":"RResolver: efficient short-read repeat resolution within ABySS","year":2022,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Genome Canada","keywords":"Computational biology; DNA microarray; Resolution (logic); Computer science; Biology; Genetics; Programming language; Gene; Gene expression","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":[0.003625065,0.003752106,0.002066255,0.00144766,0.001390539,0.003583579,0.003311223,0.001800049,0.01513566],"category_scores_gemma":[0.006054081,0.001966235,0.002683867,0.001199548,0.0009023185,0.002617524,0.002187762,0.003061623,0.01600728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131644,"about_ca_system_score_gemma":0.002470386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004174304,"about_ca_topic_score_gemma":0.004969839,"domain_scores_codex":[0.9974923,0.0003626231,0.0002109344,0.001004653,0.0006939707,0.0002354688],"domain_scores_gemma":[0.9983625,0.000719913,0.000253288,0.0002425503,0.0002870733,0.000134703],"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":[0.004698494,0.0007376237,0.00952674,0.004419926,0.001197005,0.001390977,0.002451188,0.04444707,0.1787801,0.0162366,0.1811071,0.5550072],"study_design_scores_gemma":[0.001281868,0.0009533126,0.005580601,0.0007175491,0.0003215636,0.001305987,0.0006449528,0.490971,0.227375,0.02189636,0.248214,0.0007378371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.02883022,0.002424929,0.4177286,0.0004179492,0.0004372203,0.0005387758,0.005425829,0.5385799,0.005616606],"genre_scores_gemma":[0.04491391,0.000704009,0.9044097,0.0004408617,0.00007765435,0.0006038578,0.01266922,0.03251281,0.003667924],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01513566,"threshold_uncertainty_score":0.05063379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872862315502454,"score_gpt":0.2343019722389533,"score_spread":0.2155733490839287,"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."}}