{"id":"W2972807925","doi":"10.1534/g3.119.400684","title":"Genome-Wide Variant Identification and High-Density Genetic Map Construction Using RADseq for <i>Platycladus orientalis</i> (Cupressaceae)","year":2019,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Platycladus; Cupressaceae; Identification (biology); Computational biology; Biology; Genome; Flag (linear algebra); Evolutionary biology; Genetics; Gene; Ecology; Botany; Mathematics","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":[0.001307061,0.0009096127,0.001074582,0.001944785,0.0008993552,0.00084792,0.0008322131,0.0003990621,0.002506894],"category_scores_gemma":[0.001233421,0.0004601262,0.001262966,0.0019674,0.000350664,0.0002447398,0.0006089578,0.00082831,0.001461525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608741,"about_ca_system_score_gemma":0.0006573636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00501486,"about_ca_topic_score_gemma":0.01346375,"domain_scores_codex":[0.9990804,0.0001062206,0.0000713698,0.0005123082,0.0001558434,0.00007382868],"domain_scores_gemma":[0.9994957,0.0001346422,0.0001431094,0.0000832724,0.00008836784,0.00005484017],"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":[0.001575691,0.0002881693,0.04463036,0.001732252,0.00110315,0.001758351,0.001341485,0.008584662,0.8011338,0.004502207,0.01116331,0.1221865],"study_design_scores_gemma":[0.0007220127,0.000603484,0.464267,0.0003031633,0.001854676,0.002387824,0.0007923666,0.08966391,0.2616579,0.003024359,0.1743448,0.0003786666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5961238,0.001761592,0.2981665,0.0003168191,0.0002727434,0.0007540372,0.0899784,0.006620534,0.006005581],"genre_scores_gemma":[0.4742886,0.0005472499,0.3910576,0.0002235878,0.0000661563,0.0009020595,0.1278181,0.001388778,0.003707985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00501486,"threshold_uncertainty_score":0.00997138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00934136941019749,"score_gpt":0.2168254924283789,"score_spread":0.2074841230181814,"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."}}