{"id":"W4362592237","doi":"10.1158/1538-7445.am2023-6576","title":"Abstract 6576: Gabriella Miller Kids First Data Resource Center (KFDRC): Empowering discovery across germline and somatic variation in pediatric cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Context (archaeology); Computer science; Interoperability; Metadata; World Wide Web; Medicine; Biology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009458945,0.0009627911,0.001545909,0.006725457,0.001303799,0.005790872,0.003608798,0.001703973,0.1505324],"category_scores_gemma":[0.04292404,0.001178618,0.001285119,0.007322827,0.0005338582,0.003522841,0.007989978,0.002353975,0.0869792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640279,"about_ca_system_score_gemma":0.006791295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407162,"about_ca_topic_score_gemma":0.02805855,"domain_scores_codex":[0.9954805,0.001202062,0.0007044416,0.001097415,0.001176574,0.000338877],"domain_scores_gemma":[0.9678801,0.01200336,0.002207726,0.006350602,0.005190549,0.006367811],"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":[0.000312792,0.00003039835,0.003686098,0.0007812596,0.00008034748,0.0001557275,0.0001684079,0.0001857851,0.0007060498,0.001667603,0.9712772,0.02094845],"study_design_scores_gemma":[0.0004429906,0.00004328553,0.007860911,0.001034053,0.0001056002,0.000256815,0.000157222,0.0006740872,0.001122389,0.004268209,0.9839625,0.00007196056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001847077,0.001479157,0.005282586,0.004300294,0.0003499542,0.0003039431,0.9541458,0.01622425,0.01606695],"genre_scores_gemma":[0.009092343,0.001577403,0.02790313,0.002875275,0.0003741997,0.001075442,0.9395955,0.008249461,0.009257245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9963912,"threshold_uncertainty_score":0.503581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705458608724079,"score_gpt":0.4012017298296173,"score_spread":0.3441471437423765,"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."}}