{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002506096,0.0001499709,0.0001643314,0.000763381,0.0004113214,0.0002343583,0.0001301592,0.0001012963,0.0006223213],"category_scores_gemma":[0.0001896623,0.00007220819,0.000181754,0.0009353012,0.0002034281,0.00008843345,0.0001123787,0.0001123341,0.00005700155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895136,"about_ca_system_score_gemma":0.0002826303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219172,"about_ca_topic_score_gemma":0.03828627,"domain_scores_codex":[0.9998389,0.00002243508,0.00001711022,0.00005448215,0.00003550086,0.00003140377],"domain_scores_gemma":[0.9998296,0.00004190475,0.00004936975,0.00001215052,0.00003877412,0.00002823227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005321032,0.00008960003,0.6463554,0.0001443067,0.0000879813,0.001473261,0.002891601,0.0004415663,0.2990359,0.0002750914,0.0002163301,0.0484569],"study_design_scores_gemma":[0.000007776623,0.00007615201,0.9951449,0.000009630304,0.00001592335,0.0002639539,0.0004440026,0.0001800512,0.002833387,0.00002096091,0.0009979112,0.000005257657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993722,0.0000908397,0.0001281014,0.000009328342,0.000001379323,0.000003946163,0.0001308442,0.000002720134,0.0002605371],"genre_scores_gemma":[0.9989773,0.00006194845,0.0003226873,0.00000581921,0.000001128053,0.000003464482,0.0002735881,0.000001350702,0.0003528599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02219172,"threshold_uncertainty_score":0.04412514,"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."}}