{"id":"W3188215124","doi":"10.3390/biology10080732","title":"Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Région Bretagne; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche","keywords":"Nanopore sequencing; Biology; Genome; Brassica rapa; Sequence assembly; Genomics; Nanopore; Computational biology; Chromosome; Genetics; Gene; Engineering","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":[0.00006707516,0.0001234881,0.0002072842,0.00002309815,0.00006305744,0.00001047954,0.00005926859,0.0001375982,0.000008886231],"category_scores_gemma":[0.00005233075,0.0001097901,0.00005511266,0.00004276149,0.0001202935,6.817713e-7,0.0001855669,0.00004500494,0.000001517922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008993362,"about_ca_system_score_gemma":0.00009731478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073229,"about_ca_topic_score_gemma":0.0002431391,"domain_scores_codex":[0.9992326,0.00006677014,0.0001731352,0.0003151463,0.00002348235,0.0001888433],"domain_scores_gemma":[0.9995309,0.00003535753,0.00006836055,0.000231778,0.00007383317,0.00005981742],"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":[0.00002036389,0.00002000879,0.009758546,0.00001561331,0.00009328556,0.0001427808,0.00008151193,0.000002849214,0.9885719,0.0002544058,0.0001768623,0.0008618684],"study_design_scores_gemma":[0.0005426237,0.0004669718,0.003253631,0.000008748664,0.00004274841,0.003674933,0.0003050705,0.00002459527,0.9163291,0.0002889917,0.07482411,0.000238519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926006,0.006438852,0.0000431457,0.00008680962,0.0000943235,0.00007463508,0.0001516806,0.00000234182,0.0005075969],"genre_scores_gemma":[0.9970341,0.0015706,0.0007354622,0.0002434208,0.000106547,0.000008815709,0.0000934004,0.00001137427,0.0001962437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07464725,"threshold_uncertainty_score":0.4477112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104562893870042,"score_gpt":0.2457579015232748,"score_spread":0.2247122725845744,"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."}}