{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008188549,0.00009966281,0.0003173754,0.0002734339,0.0001534433,0.00002303058,0.0001816438,0.00007973675,0.00001121228],"category_scores_gemma":[0.00008458833,0.00008805031,0.0001167005,0.0004059364,0.0001633895,4.514625e-7,0.0002457889,0.00007287563,0.000003832387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093983,"about_ca_system_score_gemma":0.00005128085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079001,"about_ca_topic_score_gemma":0.0001599487,"domain_scores_codex":[0.9988371,0.0001091426,0.0002676662,0.0002977546,0.0002152381,0.0002731193],"domain_scores_gemma":[0.9992456,0.00003258998,0.000063201,0.0003972762,0.0001912427,0.00007011232],"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":[0.00002395675,0.00003719253,0.001994327,0.0007949044,0.00125292,0.000001970699,0.0001538227,0.0003920463,0.9949906,0.0002970468,0.000009251627,0.00005193436],"study_design_scores_gemma":[0.004540999,0.00803451,0.7021131,0.001046366,0.00356577,0.00009175087,0.005137445,0.0001293391,0.259769,0.01004225,0.003501256,0.002028221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903368,0.008541726,0.0001359249,0.00005899449,0.00002059653,0.0002527781,0.00005378563,0.000001159181,0.0005981804],"genre_scores_gemma":[0.9976071,0.001633054,0.0003529067,0.00001199548,0.00005430774,0.00003291554,0.00004408332,0.00001178495,0.0002518854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7352216,"threshold_uncertainty_score":0.3590588,"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."}}