{"id":"W2150904790","doi":"10.1038/459927a","title":"Unlocking the secrets of the genome","year":2009,"lang":"en","type":"article","venue":"Nature","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":817,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; National Institute of General Medical Sciences; National Human Genome Research Institute; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology; York University; Argonne National Laboratory; University of North Carolina at Chapel Hill; Broad Institute; Massachusetts Institute of Technology; University of Washington; Harvard University; National Institutes of Health; Yale University","keywords":"Caenorhabditis elegans; Genome; Multicellular organism; Organism; Model organism; Biology; Genomics; Drosophila melanogaster; Encyclopedia; Computational biology; Key (lock); Plan (archaeology); Data science; Evolutionary biology; Genetics; Computer science; Ecology; Gene; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536726,0.0004270929,0.0006494119,0.0008443841,0.001725556,0.005419096,0.0007761332,0.00223173,0.008934909],"category_scores_gemma":[0.005048661,0.0003278402,0.0003571255,0.0009536913,0.004046811,0.009639071,0.002405673,0.006506821,0.003743272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388855,"about_ca_system_score_gemma":0.002232358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114828,"about_ca_topic_score_gemma":0.001436993,"domain_scores_codex":[0.9993991,0.0001518551,0.00003487019,0.0001055044,0.0002244418,0.00008418415],"domain_scores_gemma":[0.9973264,0.0009341663,0.0001474435,0.0005995147,0.0003972377,0.00059533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003877638,0.00006817468,0.002053031,0.0007714079,0.0000838064,0.0005622229,0.002267658,0.0008505276,0.03934555,0.319216,0.2578938,0.3765],"study_design_scores_gemma":[0.00001367912,0.00004803058,0.001326668,0.0002486375,0.00002303396,0.0004021727,0.000764142,0.0002998904,0.004168337,0.1575966,0.8350776,0.0000312704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03895766,0.3082883,0.04475653,0.512261,0.03134523,0.00005035328,0.002377457,0.001568338,0.06039501],"genre_scores_gemma":[0.3991975,0.280987,0.07159851,0.1261397,0.02547511,0.0001206721,0.00502754,0.001336393,0.09011761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008934909,"threshold_uncertainty_score":0.02989024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004056562316970011,"score_gpt":0.2196170477807448,"score_spread":0.2155604854637747,"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."}}