{"id":"W2753947359","doi":"10.5539/jas.v9n10p76","title":"Characterization of the Genetic Resources of Farmed Tambaqui in Northern Brazil","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal do Pará; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Amparo e Desenvolvimento da Pesquisa; Universidade Federal do Pará; Fundação Amazônia Paraense de Amparo à Pesquisa; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Tambaqui; Genetic diversity; Biology; Inbreeding; Species richness; Genetic variation; Locus (genetics); Breed; Genetic variability; Microsatellite; Biotechnology; Allele; Genetics; Ecology; Fishery; Genotype; Demography; Population; Fish <Actinopterygii>; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004200529,0.0002171784,0.0002651415,0.001165793,0.0005066606,0.0003593788,0.000288036,0.0001646132,0.0007332101],"category_scores_gemma":[0.0009916428,0.0001560261,0.0001258069,0.00112412,0.0005049704,0.0002020398,0.0003940171,0.000119023,0.00007287219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008750545,"about_ca_system_score_gemma":0.0006561364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06103634,"about_ca_topic_score_gemma":0.2026288,"domain_scores_codex":[0.9997837,0.00004078692,0.00001309558,0.00007525445,0.00004341899,0.00004377163],"domain_scores_gemma":[0.9995406,0.00008425566,0.0002042953,0.00003539171,0.00008180448,0.00005365186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005113834,0.00002932816,0.9523565,0.0000499162,0.00003934341,0.0003827031,0.007036769,0.0001436435,0.02129802,0.0004750913,0.00007928375,0.01805824],"study_design_scores_gemma":[0.000002118455,0.00003419975,0.9969983,0.00001440277,0.00001004352,0.0001701744,0.001507602,0.000254514,0.0002468159,0.00007718824,0.0006804194,0.000004175404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999293,0.0000695568,0.0001646443,0.00001829383,5.364394e-7,0.000006796279,0.00005522646,0.00000181045,0.0003899802],"genre_scores_gemma":[0.9992936,0.00004456757,0.0004211602,0.000008843734,5.195307e-7,0.000007870889,0.00007688719,0.000001272231,0.0001453714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103634,"threshold_uncertainty_score":0.1213621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009703326885081458,"score_gpt":0.2295391018165804,"score_spread":0.2198357749314989,"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."}}