{"id":"W2015255374","doi":"10.1101/gr.873003","title":"Assessment of SAGE in Transcript Identification","year":2003,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Agency; Natural Sciences and Engineering Research Council of Canada; BC Cancer Foundation; Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre","keywords":"Biology; Serial analysis of gene expression; SAGE; Expressed sequence tag; Drosophila melanogaster; Polyadenylation; Computational biology; Genetics; Gene; Caenorhabditis elegans; Genome; Melanogaster; Transcriptome; Gene expression","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":[0.005169121,0.001144654,0.001006193,0.002536024,0.000813933,0.00194439,0.0006782205,0.0009433568,0.00300069],"category_scores_gemma":[0.005976048,0.0005325701,0.000855112,0.001574585,0.0009422142,0.001582253,0.001642802,0.001646257,0.00237665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991134,"about_ca_system_score_gemma":0.000686992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002363775,"about_ca_topic_score_gemma":0.0009769542,"domain_scores_codex":[0.9954593,0.001651523,0.0003509787,0.0007936991,0.001421131,0.0003232903],"domain_scores_gemma":[0.9937491,0.002951021,0.0005307295,0.0008327576,0.001599484,0.0003368565],"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":[0.0001651164,0.00002625379,0.0009888202,0.0001945727,0.00002449679,0.0001533493,0.0001553343,0.0001900511,0.9829494,0.001118376,0.0001952683,0.01383898],"study_design_scores_gemma":[0.00002116898,0.0004496901,0.007002333,0.0001087364,0.0001571447,0.001279388,0.0002108628,0.004379702,0.9580037,0.002644965,0.02569754,0.00004478175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1891914,0.005985883,0.7841489,0.000549786,0.0006421724,0.0006971055,0.002448383,0.001446031,0.01489044],"genre_scores_gemma":[0.2739924,0.00666872,0.6921885,0.0006213337,0.0003392092,0.001189739,0.008532575,0.00109816,0.01536932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005169121,"threshold_uncertainty_score":0.02733725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318308959039521,"score_gpt":0.3738890518417379,"score_spread":0.3207059622513427,"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."}}