{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214273,0.0001448425,0.0004257134,0.0001018549,0.00004687309,0.000002107258,0.0003408167,0.000216764,0.00009068548],"category_scores_gemma":[0.0001335077,0.0001255716,0.0002063945,0.0003719694,0.0002086064,0.000001630809,0.0002195973,0.00008826307,6.963189e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007358704,"about_ca_system_score_gemma":0.00003422373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000823,"about_ca_topic_score_gemma":0.00008487062,"domain_scores_codex":[0.9987674,0.0002306021,0.0003989096,0.0003298394,0.00007574425,0.0001974724],"domain_scores_gemma":[0.9991506,0.00004723965,0.0002176359,0.0005002464,0.00003544836,0.0000487873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001329583,0.0003587316,0.744921,0.00001552703,0.0006035323,8.896649e-7,0.0001670967,0.004223306,0.2485037,0.0005049484,0.0002150653,0.0003532718],"study_design_scores_gemma":[0.0004359029,0.0005382493,0.9805496,0.000005996625,0.0002260488,0.000001742496,0.00003428436,0.00002056879,0.0168565,0.000458546,0.0007260141,0.0001465566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948956,0.0003691172,0.0001644284,0.00002638383,0.0000551175,0.0001387364,0.00004320754,0.000004695238,0.0043027],"genre_scores_gemma":[0.9954972,0.0000989062,0.004200705,0.00004213126,0.00001059416,0.000003595901,0.00007278657,0.000006073668,0.00006800219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2356286,"threshold_uncertainty_score":0.5120662,"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."}}