{"id":"W2275171726","doi":"10.1016/j.bbmt.2015.12.029","title":"Statistics and the Great Persky","year":2016,"lang":"en","type":"letter","venue":"Biology of Blood and Marrow Transplantation","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; University of Toronto; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; City University of New York","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1342596,0.002115976,0.004390393,0.008663786,0.004552758,0.01383113,0.003540498,0.01109059,0.009404972],"category_scores_gemma":[0.3529782,0.001857772,0.002327685,0.005591399,0.04395362,0.0159412,0.006595543,0.03816184,0.005086744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007055924,"about_ca_system_score_gemma":0.01022955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005117646,"about_ca_topic_score_gemma":0.003655632,"domain_scores_codex":[0.8689983,0.08332733,0.007316952,0.01008254,0.02847787,0.001797056],"domain_scores_gemma":[0.5357411,0.3986865,0.008105136,0.02179694,0.03069558,0.004974823],"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":[0.0001364722,0.00005606779,0.001456218,0.0007534855,0.0003180728,0.0001628206,0.001237158,0.0006770508,0.0001135378,0.2684344,0.6452909,0.08136375],"study_design_scores_gemma":[0.00007876842,0.0001078003,0.001109576,0.003378441,0.00004625764,0.0002894145,0.0007195085,0.00139643,0.0001107462,0.5141265,0.4784918,0.0001446973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005456993,0.1185172,0.0197823,0.8206512,0.03033579,0.00005717584,0.000471212,0.0004693563,0.009169932],"genre_scores_gemma":[0.04792998,0.1348587,0.06065078,0.5749934,0.1624772,0.00092667,0.0009710251,0.001742332,0.01544993],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1342596,"threshold_uncertainty_score":0.7100409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152252028163052,"score_gpt":0.2393581432473839,"score_spread":0.2278356229657534,"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."}}