{"id":"W3189139028","doi":"10.1101/2021.08.09.455742","title":"Karyotype asymmetry in <i>Cuscuta</i> L. subgenus <i>Pachystigma</i> reflects its repeat DNA composition","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Karyotype; Subgenus; Biology; Cuscuta; Chromosome; Cytotaxonomy; Genetics; Genome size; Botany; Heterochromatin; Genome; Genus; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005669239,0.0002514111,0.0001999784,0.001768677,0.0004070922,0.0003329936,0.000253259,0.0002640885,0.00231235],"category_scores_gemma":[0.0001352704,0.0001414637,0.000126898,0.0007241433,0.0002816638,0.0002278996,0.0003645647,0.0003140955,0.0002710993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728552,"about_ca_system_score_gemma":0.0001063567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004204353,"about_ca_topic_score_gemma":0.005816962,"domain_scores_codex":[0.9999059,0.000008028145,0.000006131038,0.00004500357,0.00001613672,0.00001884714],"domain_scores_gemma":[0.9998378,0.00003443064,0.00004676679,0.00001213109,0.00003142284,0.00003742553],"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":[0.00009716746,0.00000641427,0.01218161,0.00003686432,0.00001261121,0.0001020397,0.0001795344,0.00002532783,0.9833236,0.00005282384,0.00003564902,0.003946316],"study_design_scores_gemma":[0.000007904693,0.0001088129,0.9633187,0.00001233173,0.00002878175,0.0006353247,0.0003887273,0.0003115718,0.03202119,0.0000520448,0.003102499,0.000012031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977729,0.0003161606,0.0003066976,0.00001613076,0.000003799756,0.000008719313,0.000393083,0.00003705583,0.001145428],"genre_scores_gemma":[0.9971105,0.0001008131,0.0007018589,0.00003180328,0.00000460819,0.00002258063,0.001119805,0.00002232386,0.0008856384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004204353,"threshold_uncertainty_score":0.00835979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488173447600584,"score_gpt":0.2082347417207978,"score_spread":0.193353007244792,"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."}}