{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468347,0.0001119227,0.0001092728,0.00003662546,0.0009977634,0.00005327531,0.0003628656,0.00008224886,0.000002942402],"category_scores_gemma":[0.0001888701,0.00005713007,0.00006792993,0.0002829084,0.0005072046,6.715379e-7,0.0005950041,0.0001851387,0.00000196182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004646281,"about_ca_system_score_gemma":0.0003902847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007986949,"about_ca_topic_score_gemma":0.0008522216,"domain_scores_codex":[0.998297,0.0003517809,0.0002300508,0.0002823198,0.0003541051,0.0004846988],"domain_scores_gemma":[0.9989771,0.00007516098,0.000071808,0.0005769079,0.0002449893,0.00005402728],"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":[0.0001247977,0.00002734016,0.001809279,0.00002128767,0.00006563684,3.686953e-7,0.0007911256,0.00005673457,0.9941638,0.0003791998,0.0002849763,0.002275511],"study_design_scores_gemma":[0.001673577,0.001328837,0.3940324,0.00002081445,0.00003385492,0.00003871317,0.005868472,0.00001687871,0.428812,0.004039044,0.1637779,0.0003575191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896685,0.006885702,0.00002678627,0.001945817,0.00009785595,0.0006473323,0.00004543485,0.000001374382,0.0006811885],"genre_scores_gemma":[0.989976,0.008819165,0.0001346468,0.00004768848,0.0001520746,0.0000680747,0.000008617028,0.00001575626,0.0007779038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5653517,"threshold_uncertainty_score":0.767409,"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."}}