{"id":"W2923582470","doi":"10.33582/2637-7721/1002","title":"Genome size estimation of Chinese cultured artemisia annua L.","year":2018,"lang":"en","type":"article","venue":"Journal of Plant Biology and Crop Research","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences and Peking Union Medical College; China Academy of Chinese Medical Sciences; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Artemisia annua; Artemisinin; Genome; Biology; Biotechnology; Whole genome sequencing; Genetics; Computational biology; Botany; Gene; Plasmodium falciparum; Malaria","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":[0.0002867291,0.0003063345,0.0002663585,0.0009522815,0.0003573275,0.0002476953,0.0002996161,0.0002305735,0.0008477169],"category_scores_gemma":[0.0006050031,0.00017002,0.0003292488,0.0007377625,0.0001282855,0.0002946853,0.0003053737,0.0002490743,0.0003483217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443658,"about_ca_system_score_gemma":0.0001971916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213924,"about_ca_topic_score_gemma":0.003372372,"domain_scores_codex":[0.9997945,0.00001471582,0.00001952981,0.00009019821,0.00006438919,0.0000166785],"domain_scores_gemma":[0.9997557,0.00005946051,0.00004002099,0.00003782875,0.00009008089,0.00001682993],"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":[0.00006953875,0.00001241518,0.00534267,0.00006605129,0.00001236686,0.00004198319,0.0001275781,0.0005200973,0.9819818,0.0001395509,0.0001328385,0.01155304],"study_design_scores_gemma":[0.00002231052,0.0002870497,0.2233632,0.00002998555,0.0001888619,0.0004921542,0.0002565307,0.01362265,0.7438331,0.0004423075,0.01740226,0.00005949058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547832,0.001994168,0.03245378,0.0000996321,0.00004336941,0.00007607172,0.006442724,0.0003691381,0.003737959],"genre_scores_gemma":[0.9396853,0.0009591956,0.03534134,0.00009105569,0.00001812176,0.0002280629,0.02035116,0.000125429,0.003200351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003213924,"threshold_uncertainty_score":0.006390393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742408083488044,"score_gpt":0.3313379073881482,"score_spread":0.3139138265532678,"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."}}