{"id":"W2080347313","doi":"10.1126/science.1180614","title":"Genome Project Standards in a New Era of Sequencing","year":2009,"lang":"en","type":"article","venue":"Science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":404,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; Natural Environment Research Council; Sight Research UK","keywords":"DNA sequencing; Whole genome sequencing; Sequence (biology); Computational biology; Data science; Biology; Genome; Genetics; Computer science; DNA; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003315869,0.0000526652,0.00007162984,0.00003896152,0.00003690341,0.000009506205,0.0001837547,0.00002076882,0.00000181527],"category_scores_gemma":[0.00007025394,0.00004687221,0.00002001699,0.0002339571,0.0001147821,8.439251e-7,0.00005205119,0.00003381811,3.357191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003175794,"about_ca_system_score_gemma":0.001223599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004801493,"about_ca_topic_score_gemma":0.00005010915,"domain_scores_codex":[0.9993901,0.000006884524,0.0001025992,0.0001925804,0.000144826,0.0001630694],"domain_scores_gemma":[0.9997132,0.000001806894,0.00003217035,0.0001527381,0.00007010406,0.00002993465],"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":[0.000008266471,0.00000555299,0.001321991,0.000001621533,0.000001296519,5.546315e-7,0.0002409069,0.00008035467,0.9947187,0.00005980788,0.00001476815,0.003546126],"study_design_scores_gemma":[0.000436304,0.0006620694,0.2734507,0.00001945164,0.000003758219,0.000008495882,0.0002742341,0.00004785335,0.7142361,0.001061236,0.009606034,0.0001937959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965836,0.001150921,0.0001502992,0.00008217365,0.00003666676,0.00008443157,0.000007567758,9.099603e-7,0.001903372],"genre_scores_gemma":[0.9978592,0.0001476978,0.001797358,0.00008160636,0.00003686042,8.079869e-7,7.159073e-7,0.000001917965,0.00007385174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2804827,"threshold_uncertainty_score":0.2170612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669376644446579,"score_gpt":0.2877530220719505,"score_spread":0.2710592556274847,"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."}}