{"id":"W2944137863","doi":"10.1101/631648","title":"TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"German Network for Bioinformatics Infrastructure; Genome Prairie; Bundesministerium für Ernährung und Landwirtschaft; Bundesministerium für Bildung und Forschung; Genome Canada","keywords":"Triticeae; Genome; Biology; Sequence assembly; Chromosome; Whole genome sequencing; Sequence (biology); Genomics; Computational biology; Genetics; Bacterial artificial chromosome; 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002053737,0.001579555,0.0009001323,0.00152129,0.0009045373,0.002321068,0.002349231,0.0009033082,0.01134183],"category_scores_gemma":[0.004310679,0.0009704474,0.00154691,0.001683797,0.0005042054,0.001567013,0.002322828,0.002150983,0.007416043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007970302,"about_ca_system_score_gemma":0.001505901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003109208,"about_ca_topic_score_gemma":0.00498131,"domain_scores_codex":[0.9990288,0.0001191679,0.0001193291,0.0003685013,0.000264577,0.00009958476],"domain_scores_gemma":[0.9986998,0.0003588856,0.0001629083,0.0003708419,0.0002329834,0.0001745841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003797072,0.0003778395,0.006927778,0.0027803,0.00091036,0.002450833,0.001941861,0.01893589,0.5262396,0.02390202,0.2480419,0.1636946],"study_design_scores_gemma":[0.001299514,0.0006175186,0.01018823,0.0006248609,0.0003252999,0.00221627,0.0009013051,0.2039697,0.417951,0.02991339,0.3315582,0.0004346215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.08139198,0.0008621657,0.6629727,0.0005379302,0.00064702,0.0007968143,0.08140974,0.1589572,0.01242442],"genre_scores_gemma":[0.09732951,0.0006858179,0.6779305,0.0003302189,0.00009386583,0.001408319,0.1901725,0.02620272,0.005846483],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9976507,"threshold_uncertainty_score":0.03794223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034001007158949,"score_gpt":0.2273683809370256,"score_spread":0.1970283708654361,"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."}}