{"id":"W4322008831","doi":"10.1101/2023.02.24.529822","title":"A chromosome-level genome assembly of a model conifer plant, the Japanese cedar, <i>Cryptomeria japonica</i> D. Don","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Basic Biology; Institute of Genetics; Institute for Chemical Research, Kyoto University; Bio-oriented Technology Research Advancement Institution; Ministry of Agriculture, Forestry and Fisheries; Japan Society for the Promotion of Science; University of Tokyo; Forestry and Forest Products Research Institute","keywords":"Cryptomeria; Japonica; Biology; Genome; Contig; Synteny; Sequence assembly; Genetics; Gene; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001767984,0.0005360786,0.0004555143,0.0006313586,0.0006205616,0.000423226,0.000367839,0.0003645638,0.001757989],"category_scores_gemma":[0.0002498973,0.0003256882,0.0005496989,0.0006959614,0.0001331289,0.0002659558,0.0003145402,0.0005878665,0.000812247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888475,"about_ca_system_score_gemma":0.0005939569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008573954,"about_ca_topic_score_gemma":0.01385933,"domain_scores_codex":[0.999902,0.000005862061,0.000005685824,0.00005173539,0.00002048569,0.00001411221],"domain_scores_gemma":[0.9998479,0.00002590247,0.00002623126,0.00001757939,0.00004336409,0.00003898146],"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":[0.0001714928,0.00003594096,0.002360134,0.0002000193,0.00002797862,0.0004010041,0.0001977107,0.001933674,0.982448,0.0003762264,0.0009327492,0.01091505],"study_design_scores_gemma":[0.0001355773,0.0007422093,0.1630139,0.0001711571,0.0004023626,0.002312889,0.0008177631,0.06109589,0.6809604,0.001080185,0.08908496,0.0001826945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659104,0.001587047,0.1035772,0.0002202586,0.0001597862,0.0001613993,0.02014223,0.002578093,0.005663494],"genre_scores_gemma":[0.7080044,0.001065486,0.2016578,0.0001411219,0.00003004831,0.0002156407,0.0768474,0.001137524,0.01090048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008573954,"threshold_uncertainty_score":0.01704806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046823965572033,"score_gpt":0.2366884588429871,"score_spread":0.2062202191872668,"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."}}