{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120362,0.00005584506,0.00008976621,0.00009531637,0.000046897,0.000009450239,0.0001332968,0.00005303076,0.00003005402],"category_scores_gemma":[0.00005063004,0.0000564515,0.00003641925,0.0001751825,0.00007849088,2.788433e-7,0.00003660838,0.00008454746,0.000002748149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002016575,"about_ca_system_score_gemma":0.0001050454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002799613,"about_ca_topic_score_gemma":0.00005031066,"domain_scores_codex":[0.9990333,0.0001724505,0.0001855443,0.0002107666,0.0001730619,0.0002248434],"domain_scores_gemma":[0.9995751,0.00001354958,0.00002438596,0.0002568786,0.00009646924,0.00003364247],"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":[0.000005084281,0.00005557633,0.01033896,0.00001872566,0.00001571427,7.431851e-7,0.00007819439,0.00009021333,0.9880696,0.0007295386,0.00001616203,0.0005814821],"study_design_scores_gemma":[0.0005175158,0.0002350479,0.6665013,0.000007007005,0.000004029225,0.000002511398,0.0004581921,0.00001865711,0.2901483,0.0009236244,0.04105759,0.0001262849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990598,0.002626106,0.0006258541,0.00004234671,0.0000414284,0.0001992803,0.00001990675,4.395847e-7,0.005846699],"genre_scores_gemma":[0.9977616,0.001141174,0.0004876735,0.000007455952,0.00002260961,0.0000342161,0.00001306713,0.000008530396,0.0005236712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6979213,"threshold_uncertainty_score":0.2302025,"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."}}