{"id":"W2806146610","doi":"10.1139/gen-2018-0011","title":"Genome survey sequencing of <i>Dioscorea zingiberensis</i>","year":2018,"lang":"en","type":"article","venue":"Genome","topic":"Phytochemical Studies and Bioactivities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Genome; Contig; Biology; Genetics; Whole genome sequencing; Genome size; Microsatellite; Sequence assembly; Reference genome; Gene; Computational biology; Transcriptome; Allele","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002339156,0.0006389575,0.0007452609,0.0009803426,0.0005952076,0.000555634,0.0003455349,0.0003932815,0.001353184],"category_scores_gemma":[0.0004228556,0.0001771246,0.0009143553,0.001582952,0.0001402755,0.0003116775,0.0003999761,0.0006004603,0.0007141662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150274,"about_ca_system_score_gemma":0.0007342533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00865262,"about_ca_topic_score_gemma":0.009084311,"domain_scores_codex":[0.9997391,0.00001211589,0.00001701417,0.0001277554,0.00006403199,0.00004001964],"domain_scores_gemma":[0.9997916,0.00002720503,0.00004987364,0.00001451176,0.00007520747,0.00004172403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003680948,0.00005641509,0.01357011,0.00073525,0.0001111007,0.0004373389,0.0004854388,0.0006605192,0.9505113,0.0003075984,0.001605788,0.03115096],"study_design_scores_gemma":[0.0001376726,0.0005768656,0.7822,0.0001912135,0.0006037456,0.001853394,0.0006655029,0.005360852,0.09770615,0.0005212863,0.1100755,0.0001077606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901463,0.004309691,0.01740969,0.0003069644,0.0001124107,0.0002958014,0.08124499,0.0005666838,0.005607442],"genre_scores_gemma":[0.622998,0.004390988,0.06866865,0.000338528,0.00008042648,0.0003843814,0.2964881,0.0003507973,0.006300048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00865262,"threshold_uncertainty_score":0.01720452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294448158000056,"score_gpt":0.2398723770382234,"score_spread":0.2169278954582229,"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."}}