{"id":"W2968198730","doi":"10.1111/ejh.13314","title":"Impact of central nervous system involvement in AML on outcomes after allotransplant and utility of pretransplant cerebrospinal fluid assessment","year":2019,"lang":"en","type":"article","venue":"European Journal Of Haematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Cerebrospinal fluid; Internal medicine; Central nervous system; Myeloid leukemia; Cumulative incidence; Incidence (geometry); Pathological; Oncology; Leukemia; Gastroenterology; Transplantation","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":[],"consensus_categories":[],"category_scores_codex":[0.001220751,0.0002114271,0.001138618,0.0003338545,0.00001273403,0.000006351758,0.000203258,0.00005778307,0.0001289685],"category_scores_gemma":[0.00002726948,0.0001389378,0.0002544918,0.0001089085,0.0001369084,0.00006708497,0.00004589873,0.0005288268,0.000006998161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184606,"about_ca_system_score_gemma":0.0003348543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006871425,"about_ca_topic_score_gemma":0.00000964007,"domain_scores_codex":[0.997084,0.0006974888,0.001145215,0.0002106815,0.0004706393,0.0003919415],"domain_scores_gemma":[0.9987758,0.0001283079,0.0004161288,0.0003048324,0.0001574423,0.0002174526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004123138,0.0003540783,0.9767393,0.001696667,0.0003997205,0.009628031,0.0007419761,0.00004474188,0.005774163,0.000144456,0.0000787952,0.0002749154],"study_design_scores_gemma":[0.005064236,0.00370136,0.9833625,0.001364722,0.0001105783,0.004702036,0.0002136518,0.0004629734,0.0009017475,0.000002749117,0.00001899997,0.00009444098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977615,0.0002237114,0.0001968533,0.0001725919,0.0001492289,0.0004118639,0.0000433748,0.000006311918,0.001034591],"genre_scores_gemma":[0.9992326,0.0001220165,0.0005241249,0.00004531991,0.00002291991,0.000001335557,0.000005724884,0.00002618408,0.00001981148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006623189,"threshold_uncertainty_score":0.5665721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665544431114275,"score_gpt":0.2988810323790952,"score_spread":0.2822255880679525,"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."}}