{"id":"W2053512476","doi":"10.1159/000075773","title":"Sequence analysis of a rainbow trout cDNA library and creation of a gene index","year":2003,"lang":"en","type":"article","venue":"Cytogenetic and Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Genome British Columbia; U.S. Department of Agriculture","keywords":"Biology; Rainbow trout; Expressed sequence tag; cDNA library; Gene; Annotation; Complementary DNA; Computational biology; Genetics; Sequence (biology); Sequence analysis; Trout; Fishery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003261745,0.0005028879,0.0006144922,0.0008502444,0.0005829661,0.0003931511,0.0003349294,0.0001789901,0.002172303],"category_scores_gemma":[0.0002634558,0.0002725774,0.0007375586,0.001119254,0.0003218609,0.0002586285,0.0002972684,0.000879499,0.001260054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626509,"about_ca_system_score_gemma":0.001773321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467375,"about_ca_topic_score_gemma":0.007560185,"domain_scores_codex":[0.9997855,0.00001181168,0.00001931625,0.0000581183,0.00008327222,0.00004201655],"domain_scores_gemma":[0.9998117,0.00003250553,0.0000191311,0.00001495983,0.00006571158,0.00005601587],"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":[0.00006734362,0.00001800589,0.0001669566,0.00004610524,0.000004957711,0.00005656749,0.00002114087,0.00008640529,0.9972011,0.0001795095,0.0001180251,0.002033871],"study_design_scores_gemma":[0.0000601762,0.0005224588,0.01396623,0.00002815892,0.0001318472,0.000682276,0.00007985094,0.002890851,0.9609311,0.000461191,0.02021054,0.00003529532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338903,0.001486597,0.1285402,0.0006563518,0.0002771018,0.0007286666,0.0247531,0.002005444,0.00766232],"genre_scores_gemma":[0.5900097,0.005308403,0.2080033,0.0004997669,0.0001614144,0.0009450386,0.154426,0.001039003,0.03960738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004467375,"threshold_uncertainty_score":0.008882701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592834170701851,"score_gpt":0.3242066975848495,"score_spread":0.278278355877831,"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."}}