{"id":"W2145593235","doi":"10.1101/gr.2473704","title":"Systematic Recovery and Analysis of Full-ORF Human cDNA Clones","year":2004,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency; U.S. Public Health Service; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre","keywords":"RefSeq; Biology; ORFS; Genetics; Expressed sequence tag; GenBank; Complementary DNA; Gene; Primer (cosmetics); Sequence analysis; Amplicon; dbSNP; Computational biology; Library; Open reading frame; Polymerase chain reaction; Genome; Peptide sequence; Genotype","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":[0.001675772,0.0007550634,0.001427231,0.002027433,0.001009914,0.001163165,0.001210668,0.0007741311,0.002849231],"category_scores_gemma":[0.002273319,0.0006417032,0.001275027,0.00278346,0.0005770543,0.000495517,0.001184941,0.00220498,0.005440191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435944,"about_ca_system_score_gemma":0.001237151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230779,"about_ca_topic_score_gemma":0.003071853,"domain_scores_codex":[0.9981623,0.000266335,0.0002655478,0.0004439497,0.0006188549,0.0002429614],"domain_scores_gemma":[0.9987136,0.0003586083,0.00009718628,0.0003738094,0.0003832588,0.00007356961],"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":[0.0001195188,0.00006988584,0.0004248027,0.00029269,0.00002680821,0.0003250618,0.0001663453,0.0003182587,0.9781979,0.0005139094,0.001661884,0.01788289],"study_design_scores_gemma":[0.0001226863,0.0006920226,0.01117952,0.0001339384,0.0002388104,0.002136045,0.0002894352,0.006422979,0.8927346,0.0007649534,0.08520503,0.00007994921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.308655,0.008297471,0.5996925,0.001416747,0.0007345058,0.009066361,0.05628934,0.004069662,0.01177853],"genre_scores_gemma":[0.1939836,0.01124912,0.6094773,0.0009277933,0.0002190969,0.004487228,0.1612361,0.001576176,0.01684356],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002849231,"threshold_uncertainty_score":0.009531617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777060833555022,"score_gpt":0.3308986824684569,"score_spread":0.2931280741329066,"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."}}