{"id":"W2950340288","doi":"10.1186/s13059-018-1475-4","title":"Optical and physical mapping with local finishing enables megabase-scale resolution of agronomically important regions in the wheat genome","year":2018,"lang":"en","type":"article","venue":"Genome biology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Saskatchewan Research Council (Canada); Global Institute for Water Security; University of Saskatchewan","funders":"Instituto de Salud Carlos III; Australian Research Council; Agriculture Victoria; Ministerstvo Školství, Mládeže a Tělovýchovy; Commonwealth Scientific and Industrial Research Organisation; Australian Government; Grains Research and Development Corporation; Department of Industry, Innovation, Science, Research and Tertiary Education, Australian Government; Government of Western Australia; National Science Foundation","keywords":"Biology; RefSeq; Genome; Genetics; Bacterial artificial chromosome; Sequence assembly; Chromosome; Reference genome; Whole genome sequencing; Context (archaeology); Centromere; Computational biology; Gene; Transcriptome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000219111,0.0001002528,0.0001770104,0.00001469795,0.0001503919,0.00001839615,0.0001778274,0.00007869415,0.00003147999],"category_scores_gemma":[0.00001868944,0.00003449805,0.00003788117,0.0001969697,0.0004595144,0.00003735207,0.00007797496,0.00009197644,0.000004363456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001850712,"about_ca_system_score_gemma":0.00001511838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002294339,"about_ca_topic_score_gemma":0.001893511,"domain_scores_codex":[0.9991233,0.00008875599,0.0002149611,0.00026063,0.00006218683,0.000250141],"domain_scores_gemma":[0.999597,0.000171578,0.00006845617,0.00007177197,0.00003983209,0.00005142647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006528531,0.0001420116,0.009604776,0.000005459055,0.00001782517,0.000003255162,0.001571631,0.00002100919,0.9780689,0.007258306,0.000007359542,0.003234158],"study_design_scores_gemma":[0.0003699265,0.001858773,0.974076,0.0000202754,0.00002666129,0.00006654914,0.002159219,0.0009637445,0.001194584,0.007600688,0.011406,0.0002575376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963813,0.0001730096,0.0004174067,0.00238616,0.00002126696,0.0001577936,0.00003747197,0.00001108457,0.0004145072],"genre_scores_gemma":[0.9988271,0.00003234622,0.0006122264,0.0001273513,0.0003129151,0.0000146453,0.00005854656,8.346213e-7,0.00001403543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9768744,"threshold_uncertainty_score":0.16931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711992038210712,"score_gpt":0.2069875393127674,"score_spread":0.1898676189306603,"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."}}