{"id":"W2057589481","doi":"10.1093/nar/gkr921","title":"modMine: flexible access to modENCODE data","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; National Institutes of Health; Wellcome Trust","keywords":"Metadata; Biology; Encyclopedia; Exploit; Model organism; Data sharing; Caenorhabditis elegans; Genome; Drosophila melanogaster; Download; Organism; Genomics; Computational biology; Computer science; Data science; World Wide Web; Genetics; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009555152,0.002018037,0.002270882,0.003925888,0.00105717,0.004851941,0.009658433,0.002226977,0.04365921],"category_scores_gemma":[0.02630161,0.00241807,0.002299306,0.005122645,0.001037059,0.006417091,0.006176352,0.00308697,0.0334121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901282,"about_ca_system_score_gemma":0.002803865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333131,"about_ca_topic_score_gemma":0.006377183,"domain_scores_codex":[0.9967847,0.0006209842,0.000514111,0.0009782311,0.0008727126,0.0002292804],"domain_scores_gemma":[0.992133,0.003593781,0.0004426737,0.00249306,0.0009366127,0.0004009747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003681856,0.0002143389,0.006688789,0.002696109,0.0004816918,0.0009301293,0.001000939,0.00474687,0.01568501,0.01529095,0.8607498,0.0878336],"study_design_scores_gemma":[0.001373043,0.0001325638,0.004493955,0.0005017418,0.0001508045,0.0007559709,0.0003966032,0.0420835,0.03453368,0.04547197,0.8697229,0.0003833439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00632342,0.0006361953,0.1148174,0.0009997945,0.0003100439,0.0005551678,0.4342591,0.4311892,0.01090974],"genre_scores_gemma":[0.03801484,0.0006759967,0.2135533,0.001443848,0.0001085363,0.003255915,0.6629338,0.07466653,0.005347352],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04365921,"threshold_uncertainty_score":0.1460546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.244598332710469,"score_gpt":0.4094784503983188,"score_spread":0.1648801176878498,"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."}}