{"id":"W249826756","doi":"","title":"Genetic Diversity Blueprint","year":2000,"lang":"en","type":"article","venue":"Forum for applied research and public policy","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demise; Extinction (optical mineralogy); Biodiversity; IUCN Red List; Geography; Genetic erosion; Ethnology; Ancestor; Genealogy; Ecology; History; Environmental ethics; Genetic diversity; Archaeology; Biology; Paleontology; Law; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001121806,0.0005800785,0.0005006125,0.006512764,0.001495089,0.003047707,0.0009982801,0.0008363513,0.0743479],"category_scores_gemma":[0.005532449,0.0002103543,0.0002994333,0.008129778,0.001825182,0.001939762,0.002320173,0.001665015,0.02005459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304396,"about_ca_system_score_gemma":0.001304793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005816192,"about_ca_topic_score_gemma":0.006629961,"domain_scores_codex":[0.9984176,0.0003682744,0.00008492292,0.0004855922,0.0004773353,0.0001661017],"domain_scores_gemma":[0.9963253,0.0007908147,0.0004042543,0.0006941478,0.001227617,0.000557824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001203258,0.00004209797,0.01525851,0.0006573116,0.00009970964,0.0002352538,0.001784539,0.0004831067,0.001482306,0.1047523,0.3821445,0.49294],"study_design_scores_gemma":[0.00001001637,0.0000277475,0.02224431,0.000237724,0.00001557789,0.0002395556,0.0005105219,0.0001694398,0.0002681532,0.02438239,0.9518747,0.00001981682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03049483,0.01234507,0.02740334,0.02792479,0.007961742,0.0002079034,0.131019,0.002512474,0.7601308],"genre_scores_gemma":[0.3849897,0.01769394,0.0544446,0.01962087,0.006840224,0.0008737089,0.1311894,0.002023461,0.3823241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0743479,"threshold_uncertainty_score":0.2487185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412349127686976,"score_gpt":0.3083662399480676,"score_spread":0.2742427486711979,"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."}}