{"id":"W2104904211","doi":"10.1111/j.1365-2052.2005.01305.x","title":"Characterization and comparison of microsatellites derived from repeat‐enriched libraries and expressed sequence tags","year":2005,"lang":"en","type":"article","venue":"Animal Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microsatellite; Biology; Genetics; Genome; Locus (genetics); Genetic marker; Dinucleotide Repeat; Expressed sequence tag; Genetic linkage; Tandem repeat; Population; Allele; Gene","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":[0.0005815524,0.000323874,0.0002911379,0.0009329426,0.0001791379,0.0004897906,0.0003042943,0.0002446285,0.0004675172],"category_scores_gemma":[0.001044766,0.0001921751,0.000318461,0.0008835833,0.0001814856,0.0002606127,0.0002973478,0.0003858542,0.0004908115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217775,"about_ca_system_score_gemma":0.0003042253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004460425,"about_ca_topic_score_gemma":0.0009151475,"domain_scores_codex":[0.9996151,0.00005384342,0.00004903729,0.00008290663,0.0001403127,0.00005883279],"domain_scores_gemma":[0.9993528,0.0001617435,0.0001972918,0.00005150254,0.0001341177,0.0001025484],"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":[0.0001041372,0.00002864044,0.001465536,0.00004177397,0.00001607107,0.00007406178,0.00004525298,0.0001457503,0.9944162,0.00009789804,0.00001755597,0.003547026],"study_design_scores_gemma":[0.00004450654,0.0006587732,0.07959147,0.00003115615,0.0001586019,0.001282205,0.0001370813,0.004967562,0.9069315,0.0004464544,0.005715001,0.00003570357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951319,0.000731419,0.04487632,0.00005388666,0.00003093866,0.00008495471,0.001555094,0.0001529237,0.001195511],"genre_scores_gemma":[0.9230176,0.001126687,0.05830385,0.0001251678,0.00003177942,0.0001910017,0.01257635,0.0001323295,0.004495132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009329426,"threshold_uncertainty_score":0.00307554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155607501098844,"score_gpt":0.2561232490920134,"score_spread":0.234567174081025,"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."}}