{"id":"W189143987","doi":"10.1101/gr.2596504","title":"The Status, Quality, and Expansion of the NIH Full-Length cDNA Project: The Mammalian Gene Collection (MGC)","year":2004,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":590,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of Dental and Craniofacial Research; National Human Genome Research Institute; National Cancer Institute; National Institutes of Health; U.S. Public Health Service; National Institute on Deafness and Other Communication Disorders; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"Biology; Complementary DNA; Genetics; cDNA library; Open reading frame; Expressed sequence tag; Gene; Computational biology; Genomic library; Genome; Peptide sequence","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":[0.004849751,0.001160954,0.00104123,0.003048546,0.001645424,0.002451775,0.002811872,0.001368484,0.004468904],"category_scores_gemma":[0.003426821,0.0007083764,0.0008234842,0.003462915,0.0008913917,0.001454758,0.001502648,0.002271264,0.006457261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106629,"about_ca_system_score_gemma":0.007210204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006807996,"about_ca_topic_score_gemma":0.008271227,"domain_scores_codex":[0.9961156,0.0006441653,0.0006596903,0.0005506497,0.001675797,0.0003542097],"domain_scores_gemma":[0.9947967,0.0003123707,0.0003825162,0.0009316564,0.002906286,0.000670475],"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":[0.0005239892,0.0001974683,0.003198169,0.001002108,0.00005614957,0.0002395259,0.00025523,0.0003193507,0.8508994,0.004994766,0.03614567,0.1021681],"study_design_scores_gemma":[0.0002882972,0.0009197369,0.04481422,0.000379823,0.0002690472,0.002977868,0.0001842811,0.00269951,0.4261801,0.001866682,0.5192195,0.0002008957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3201068,0.04884414,0.2537163,0.01465012,0.002832494,0.007553451,0.2958526,0.009995813,0.04644838],"genre_scores_gemma":[0.0898241,0.01731199,0.3149864,0.001652754,0.0005437164,0.004401869,0.5518165,0.001638321,0.01782437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006807996,"threshold_uncertainty_score":0.02564824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06666755145254524,"score_gpt":0.3570247026661348,"score_spread":0.2903571512135896,"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."}}