{"id":"W3081739484","doi":"10.5376/tgmb.2020.10.0005","title":"Characterization of Genomic Microsatellite Markers and Analysis of Pollen Donors Number for Single Cone of Chinese fir","year":2020,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Forestry","keywords":"Biology; Microsatellite; Cunninghamia; Loss of heterozygosity; Pollen; Genome; Allele; Genetics; Botany; Gene","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":[0.0001591436,0.000142361,0.0001571204,0.0005104544,0.0002084672,0.0001495077,0.000170413,0.0001861785,0.0004205586],"category_scores_gemma":[0.0002270451,0.00008461175,0.0001401692,0.0002751637,0.0001125856,0.00008155175,0.00009481629,0.0001625703,0.0001221639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794561,"about_ca_system_score_gemma":0.0002553536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002673738,"about_ca_topic_score_gemma":0.007893773,"domain_scores_codex":[0.9999011,0.000005422642,0.00000811061,0.00004144448,0.00002966302,0.00001432422],"domain_scores_gemma":[0.999795,0.00003509141,0.00006143038,0.0000162558,0.00004049858,0.00005179631],"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":[0.0001265065,0.00005623328,0.09066677,0.00005372254,0.00001677994,0.0003152472,0.0003549322,0.0002078859,0.8971523,0.0001222609,0.00005985768,0.01086748],"study_design_scores_gemma":[0.00002227865,0.0002010806,0.9458477,0.00001321647,0.00004263049,0.001039949,0.0002006829,0.001806267,0.04907986,0.00008598613,0.001642828,0.00001744512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990575,0.00004754824,0.0005028273,0.0000043655,0.000001510117,0.000005063553,0.000194333,0.00000531537,0.0001815108],"genre_scores_gemma":[0.9958555,0.00006362402,0.002187223,0.0000123282,0.0000030919,0.00001407848,0.001223719,0.000005587252,0.000634934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002673738,"threshold_uncertainty_score":0.005316377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00760856146846785,"score_gpt":0.2043012536167922,"score_spread":0.1966926921483244,"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."}}