{"id":"W2106831214","doi":"10.1093/database/bar023","title":"The modENCODE Data Coordination Center: lessons in harvesting comprehensive experimental details","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Basic Energy Sciences; Office of Science; National Institutes of Health; Wellcome Trust; National Human Genome Research Institute; U.S. Department of Energy","keywords":"Computer science; Metadata; Protocol (science); Research center; Encyclopedia; Caenorhabditis elegans; Set (abstract data type); World Wide Web; Information retrieval; Library science; Biology; Programming language","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1556341,0.003284753,0.005493754,0.01278058,0.00567466,0.02310842,0.02468726,0.00523471,0.03060433],"category_scores_gemma":[0.3158459,0.005488567,0.002726567,0.0239789,0.006668325,0.03902732,0.01848643,0.0117718,0.0438577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009031015,"about_ca_system_score_gemma":0.02919187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02543666,"about_ca_topic_score_gemma":0.01848761,"domain_scores_codex":[0.9402893,0.02041408,0.01023213,0.008863299,0.01831795,0.0018832],"domain_scores_gemma":[0.5356182,0.1087489,0.01161035,0.2624705,0.06655721,0.01499489],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005598241,0.0001925208,0.003725164,0.001482499,0.0001505989,0.0002090534,0.001699797,0.001956824,0.003558168,0.07123757,0.6955961,0.2196319],"study_design_scores_gemma":[0.0002392528,0.00006039601,0.001781568,0.001128363,0.00006891024,0.0002891231,0.0006700206,0.004987353,0.005002193,0.06309158,0.9224079,0.0002733186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003493492,0.00293143,0.713962,0.03960351,0.005983348,0.002835375,0.09164888,0.1106607,0.02888133],"genre_scores_gemma":[0.00904778,0.001483243,0.865966,0.004578424,0.0008717249,0.002596746,0.08348162,0.02666043,0.005314066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8443658,"threshold_uncertainty_score":0.8230819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012342081328602,"score_gpt":0.332068989890459,"score_spread":0.2308347817575987,"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."}}