{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005605285,0.0003646024,0.0002441118,0.0004979869,0.0005158207,0.0005119728,0.0003250963,0.0003981818,0.0005723138],"category_scores_gemma":[0.0005281007,0.0002183848,0.0003358292,0.0006239342,0.0001957902,0.0002593985,0.0003314957,0.0003319226,0.0005084094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340406,"about_ca_system_score_gemma":0.0003364102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003998124,"about_ca_topic_score_gemma":0.005684287,"domain_scores_codex":[0.9995881,0.0001074675,0.00003252158,0.0001386124,0.0001030541,0.00003026705],"domain_scores_gemma":[0.9997166,0.00005939754,0.00004606479,0.00008247176,0.00005804263,0.00003737944],"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":[0.0001428954,0.00002787162,0.001508074,0.000149721,0.00002285534,0.0001560475,0.0002162117,0.001862344,0.9796451,0.0003078948,0.0001475485,0.01581333],"study_design_scores_gemma":[0.00002884823,0.0004626776,0.02667397,0.00004218361,0.0001102813,0.001378294,0.0003085182,0.009711507,0.9387987,0.0003609863,0.02208679,0.0000372978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512826,0.00227821,0.04006524,0.0001776338,0.00001763247,0.0001872069,0.002440469,0.0004897327,0.00306132],"genre_scores_gemma":[0.7694579,0.003237795,0.2131143,0.00006793498,0.00001078785,0.0002456146,0.009920798,0.000263157,0.003681666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003998124,"threshold_uncertainty_score":0.00794971,"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."}}