{"id":"W4399409225","doi":"10.3724/issn1000-3207-2003-3-329-6","title":"RAPD ANALYSIS OF GENETIC DIVERSITY OF RED COMMON CARP IN CHINA","year":2003,"lang":"en","type":"article","venue":"Acta Hydrobiologica Sinica","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"RAPD; Genetic diversity; Common carp; China; Biology; Diversity (politics); Evolutionary biology; Genetics; Geography; Fish <Actinopterygii>; Fishery; Anthropology; Sociology; Demography; Cyprinus","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":[0.0005606932,0.0004382991,0.0005334286,0.0040248,0.0008513178,0.0003262466,0.0005091822,0.0003019042,0.0004850259],"category_scores_gemma":[0.0004505513,0.0003177628,0.0004700349,0.003085634,0.0006031604,0.0001656273,0.0003918402,0.0002301968,0.0001452085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009276,"about_ca_system_score_gemma":0.0008962461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0242146,"about_ca_topic_score_gemma":0.03204504,"domain_scores_codex":[0.9993845,0.00007109759,0.0000586273,0.0002613139,0.0001255078,0.00009898779],"domain_scores_gemma":[0.9993914,0.0001269978,0.0001415538,0.00005072886,0.0001479234,0.0001412737],"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":[0.001280687,0.0001300604,0.4258724,0.000197284,0.0004166035,0.001796174,0.006099228,0.001165517,0.5388591,0.0004146822,0.0001453746,0.02362294],"study_design_scores_gemma":[0.00001577495,0.0001012013,0.995257,0.000005744423,0.00005775263,0.0003618936,0.0003812826,0.0004560315,0.00286862,0.00004029816,0.0004420603,0.00001238732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995458,0.0000551193,0.00008511046,0.000004671915,9.706413e-7,0.000002703433,0.00007949738,0.000002295442,0.000223838],"genre_scores_gemma":[0.9987257,0.00006324555,0.0002955395,0.00001054182,0.000002749558,0.00000917133,0.000301989,0.000002813403,0.0005883182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242146,"threshold_uncertainty_score":0.04814732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308342112293389,"score_gpt":0.2362154730998779,"score_spread":0.2231320519769441,"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."}}