{"id":"W6963890384","doi":"10.25345/c5609s","title":"MassIVE MSV000084643 - N terminome analysis of pediatric acute leukemia patients and matched xenografts","year":2019,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Acute leukemia; Acute lymphocytic leukemia; Cancer; Leukemia; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001676903,0.0004265149,0.0009895575,0.001242534,0.00008606516,0.00008586014,0.0005573261,0.0003277599,0.004976307],"category_scores_gemma":[0.00008334488,0.0003599908,0.0002464094,0.001010549,0.0001176236,0.0001631087,0.00009661968,0.0002813248,0.0005129978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002310516,"about_ca_system_score_gemma":0.0001393069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809236,"about_ca_topic_score_gemma":0.003699319,"domain_scores_codex":[0.9976831,0.0001371143,0.0005476411,0.0006214416,0.0005336854,0.0004770303],"domain_scores_gemma":[0.9979652,0.0004981591,0.0005836166,0.000684148,0.00007020259,0.0001986487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009815634,0.00002137118,0.4805328,0.0001491921,0.0007726608,0.00003971357,0.00003538318,0.000136203,9.773617e-7,6.081093e-8,0.5174667,0.0007467261],"study_design_scores_gemma":[0.0004082204,0.0002220363,0.9375384,0.00002113395,0.004594192,0.000002226522,0.00002329508,0.0001376248,0.000005879596,0.000003600751,0.05662628,0.0004170472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.406321,0.0004039491,2.18703e-7,0.000003766699,0.0002657028,0.0001703206,0.5927458,0.00001472066,0.0000745033],"genre_scores_gemma":[0.04667604,0.0009194695,0.00006616564,0.00005729535,0.0001299057,0.000002244457,0.9519453,0.000009809205,0.0001937771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4608405,"threshold_uncertainty_score":0.9998852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414048757210374,"score_gpt":0.2401790318319232,"score_spread":0.2260385442598195,"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."}}