{"id":"W152238779","doi":"10.1182/blood.v122.21.2133.2133","title":"Global Hematopoietic Stem Cell Transplantation (HSCT) At One Million: An Achievement Of Pioneers and Foreseeable Challenges For The Next Decade. A Report From The Worldwide Network For Blood and Marrow Transplantation (WBMT)","year":2013,"lang":"en","type":"article","venue":"Blood","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Transplantation; Medicine; Hematopoietic stem cell transplantation; Bone marrow; Immunology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003037652,0.001053765,0.0004770774,0.001258774,0.000738545,0.003459446,0.0006631513,0.002096744,0.009331702],"category_scores_gemma":[0.002778704,0.0002771637,0.0008821792,0.001544796,0.0006802023,0.004094104,0.00269311,0.002900877,0.003258857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401656,"about_ca_system_score_gemma":0.007974347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801525,"about_ca_topic_score_gemma":0.005862628,"domain_scores_codex":[0.99884,0.0002222042,0.00007094327,0.0001062578,0.0004904792,0.000270157],"domain_scores_gemma":[0.9976807,0.0003164007,0.0002211341,0.00008942339,0.0007121202,0.0009802462],"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":[0.0001527107,0.00006810108,0.003066326,0.001113329,0.00004704923,0.0001485058,0.0001504111,0.0001150035,0.0007370863,0.006948265,0.7616901,0.225763],"study_design_scores_gemma":[0.00002877793,0.0001012763,0.007579559,0.001106691,0.0000864106,0.0003371504,0.0004133633,0.0001042667,0.0004855271,0.002506236,0.9872299,0.00002093159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008466634,0.6053258,0.002228968,0.2898946,0.05340567,0.0001243213,0.006810304,0.0006126408,0.03313103],"genre_scores_gemma":[0.0854542,0.6967822,0.007049417,0.1105975,0.02590292,0.0003234356,0.01457717,0.0001845573,0.05912855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009331702,"threshold_uncertainty_score":0.03121763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264808570895784,"score_gpt":0.2505601029320366,"score_spread":0.2179120172230787,"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."}}