{"id":"W2008050769","doi":"10.1111/j.1471-8286.2006.01409.x","title":"Characterization of di‐ and tetranucleotide microsatellite markers in rainbow smelt (<i>Osmerus mordax</i>)","year":2006,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microsatellite; Loss of heterozygosity; Biology; Locus (genetics); Genetics; Smelt; Allele; Zoology; Fishery; Gene; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001183648,0.0001626374,0.0001983472,0.00007528086,0.00003371325,0.000009426593,0.0001196824,0.0001933321,0.00001387318],"category_scores_gemma":[0.00003726279,0.000176237,0.0000538169,0.00009586634,0.0002550824,0.000003312515,0.00006710026,0.0000802693,0.000002293947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007638852,"about_ca_system_score_gemma":0.00003820529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005941928,"about_ca_topic_score_gemma":0.00008676421,"domain_scores_codex":[0.9989763,0.00009430655,0.0002851886,0.0003332258,0.00006392269,0.000247011],"domain_scores_gemma":[0.9995849,0.00002579431,0.00009931749,0.0002113579,0.00003928431,0.00003938477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006483591,0.00007677592,0.1193469,0.00002244465,0.00002128737,0.000004032044,0.00002560086,0.0002036357,0.8781309,0.0005647574,0.000009738686,0.001529173],"study_design_scores_gemma":[0.0004592458,0.0001579558,0.6162583,0.000006320051,0.00001290123,0.000008232568,0.000006342928,0.00001280185,0.3817495,0.0008223493,0.0003863854,0.000119626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964117,0.000514268,0.002315834,0.0001722522,0.00009284242,0.0002297389,0.00002742872,0.000007719455,0.0002282452],"genre_scores_gemma":[0.9942044,0.00005878939,0.005182984,0.0002196196,0.00004006872,0.00001642604,0.0001809591,0.00002306486,0.00007367255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969115,"threshold_uncertainty_score":0.7186737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003656380230283813,"score_gpt":0.1973175559821717,"score_spread":0.1936611757518878,"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."}}