{"id":"W2359111786","doi":"","title":"Genetic Diversity of Auricularia aruicula- judae Validation Varieties in Heilongjiang Province","year":2014,"lang":"en","type":"article","venue":"Biotechnology(Faisalabad)","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Genetic diversity; Auricularia; Biology; Genetic similarity; Genetics; Veterinary medicine; Evolutionary biology; Botany; Medicine; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219499,0.0001426918,0.0002952542,0.0002117498,0.000112019,0.000004199988,0.0002125283,0.0005891825,0.00003731432],"category_scores_gemma":[0.0002370979,0.0001285776,0.00006518554,0.0003824081,0.0003832735,0.000042769,0.000266565,0.0003135629,0.00005719981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004568122,"about_ca_system_score_gemma":0.00005747692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604893,"about_ca_topic_score_gemma":0.00006141699,"domain_scores_codex":[0.9989879,0.00005382621,0.0002759104,0.0003373669,0.0001201041,0.0002249147],"domain_scores_gemma":[0.9992163,0.00006937124,0.0001293016,0.0004759839,0.00006342379,0.00004564791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479797,0.0005759163,0.6838688,0.0001956827,0.0001004122,0.00002948218,0.0001926368,0.00005362297,0.2498281,0.05769713,0.0009027408,0.006407524],"study_design_scores_gemma":[0.001247534,0.0004422451,0.7904146,0.00006685792,0.0001102944,0.00005576332,0.0001298764,0.0006338234,0.1990182,0.003323277,0.004319745,0.0002378132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991233,0.0001957545,0.00306688,0.004066297,0.0000840917,0.0004566001,0.000009080504,0.0001774794,0.0007108249],"genre_scores_gemma":[0.9931556,0.00005560715,0.006432712,0.0001249867,0.00002685193,0.00002436267,0.00003114876,0.00001003396,0.0001387184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1065458,"threshold_uncertainty_score":0.5243241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009406858705295965,"score_gpt":0.226620601774585,"score_spread":0.217213743069289,"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."}}