{"id":"W1680732383","doi":"10.1186/1471-2164-7-196","title":"Generation of a large scale repertoire of Expressed Sequence Tags (ESTs) from normalised rainbow trout cDNA libraries","year":2006,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Genome British Columbia","keywords":"Expressed sequence tag; Biology; Rainbow trout; Repertoire; DNA microarray; Computational biology; Genetics; Complementary DNA; Trout; cDNA library; Sequence (biology); DNA sequencing; Evolutionary biology; Fish <Actinopterygii>; Gene; Gene expression; Fishery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006925872,0.0006284236,0.0005378543,0.0007612116,0.0003526888,0.0005612939,0.0005659679,0.0004226112,0.001647779],"category_scores_gemma":[0.000696024,0.0003683315,0.0009244292,0.001013709,0.0003511641,0.0003601,0.0007808216,0.00102187,0.001747607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934694,"about_ca_system_score_gemma":0.000935848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008542679,"about_ca_topic_score_gemma":0.00197898,"domain_scores_codex":[0.9994062,0.00004382768,0.00005969809,0.0001803965,0.0002208974,0.00008899716],"domain_scores_gemma":[0.9996196,0.00007269064,0.0000549975,0.00004920705,0.0001486461,0.00005477238],"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":[0.0001047105,0.00002766224,0.0006795061,0.00009109465,0.00001335786,0.00005651704,0.00004143287,0.0003996535,0.9942397,0.0001367834,0.0001309543,0.004078614],"study_design_scores_gemma":[0.00006588226,0.0005541394,0.0189249,0.00004930731,0.000165103,0.000509366,0.0001256826,0.0073605,0.9610748,0.0004742505,0.01064518,0.00005089729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054648,0.000949191,0.1707806,0.0002624613,0.0001413238,0.0006793853,0.01598743,0.001889518,0.003845401],"genre_scores_gemma":[0.6826158,0.001645976,0.2121497,0.0004130944,0.00009333,0.0009650548,0.08571234,0.0009273207,0.01547737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647779,"threshold_uncertainty_score":0.005512357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362124380734338,"score_gpt":0.2324759086380448,"score_spread":0.2088546648307014,"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."}}