{"id":"W3129379232","doi":"10.1038/s41588-021-00791-5","title":"The NCI Genomic Data Commons","year":2021,"lang":"pl","type":"article","venue":"Nature Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"Terahertz Technology Solutions (Canada); Centre Hospitalier Universitaire Sainte-Justine; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Biology; Petabyte; Genomics; Commons; Interface (matter); Cancer; Computational biology; Genetics; Big data; Genome; Data mining; Gene; Computer science","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":[0.01248438,0.001447817,0.002129819,0.007425121,0.002494783,0.01212268,0.006814092,0.004134618,0.2910383],"category_scores_gemma":[0.09677826,0.001573405,0.001006398,0.01443075,0.003437905,0.009446342,0.01263134,0.006575017,0.2563675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004573793,"about_ca_system_score_gemma":0.0146096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496176,"about_ca_topic_score_gemma":0.01365376,"domain_scores_codex":[0.9907873,0.00152581,0.0007738218,0.0006900558,0.005568309,0.0006545996],"domain_scores_gemma":[0.926535,0.02165414,0.00246581,0.03018699,0.01001937,0.009138682],"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":[0.0000310492,0.0000172382,0.0001743827,0.0001103261,0.00000457836,0.0000377077,0.0000639611,0.0001256964,0.0001555572,0.006741757,0.9682049,0.02433299],"study_design_scores_gemma":[0.00001952281,0.000004509325,0.0003120234,0.00009319791,0.000003956427,0.00004652997,0.00005390543,0.0002943436,0.0001764401,0.01113131,0.9878458,0.00001832947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001269867,0.003432263,0.02102443,0.09496287,0.01211433,0.0003775819,0.4049028,0.07723866,0.3846772],"genre_scores_gemma":[0.02617862,0.008889737,0.0212115,0.03977087,0.007555573,0.00167822,0.5901991,0.03498913,0.2695273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2910383,"threshold_uncertainty_score":0.9736202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135941745023802,"score_gpt":0.275273594384021,"score_spread":0.2616794198816408,"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."}}