{"id":"W4394479908","doi":"10.6084/m9.figshare.20499880","title":"Additional file 3 of Genome-wide profiling of 5-hydroxymethylcytosines in circulating cell-free DNA reveals population-specific pathways in the development of multiple myeloma","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère","funders":"","keywords":"Profiling (computer programming); Computational biology; Genome; Biology; DNA; Multiple myeloma; Population; DNA profiling; Genetics; Computer science; Gene; Medicine; Immunology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001003834,0.001400477,0.001507008,0.001593731,0.000875991,0.001976273,0.001910734,0.001905839,0.4031785],"category_scores_gemma":[0.009611214,0.000560988,0.001429631,0.002752606,0.0002954998,0.001265875,0.001133048,0.00141121,0.06690918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108964,"about_ca_system_score_gemma":0.001805298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009955012,"about_ca_topic_score_gemma":0.02026529,"domain_scores_codex":[0.9994153,0.00007917463,0.00007949118,0.0002178346,0.0001033444,0.000104967],"domain_scores_gemma":[0.9959043,0.00266647,0.0003278021,0.0003648884,0.0005093901,0.0002271541],"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":[0.0005479481,0.00009683339,0.006476445,0.004579579,0.0001597367,0.0001436452,0.00006014426,0.0007812848,0.0004937182,0.0006388216,0.9802214,0.005800503],"study_design_scores_gemma":[0.006027661,0.0002924547,0.05169545,0.003190109,0.000584826,0.0008563076,0.0003087103,0.002746012,0.002021539,0.007601105,0.9245214,0.0001544636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001316795,0.00002818421,0.00005557647,0.00003908544,0.000007440539,0.00001285058,0.9994841,0.00007394979,0.0001671858],"genre_scores_gemma":[0.001925413,0.00007429322,0.0005873971,0.0001551474,0.00001808048,0.0002453507,0.9957969,0.00008902307,0.001108345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4031785,"threshold_uncertainty_score":0.8512934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856165510292268,"score_gpt":0.2524413750537942,"score_spread":0.2238797199508715,"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."}}