{"id":"W2064300367","doi":"10.1038/sj.bmt.1705131","title":"Genetic risk identifies multiple myeloma patients who do not benefit from autologous stem cell transplantation","year":2005,"lang":"en","type":"article","venue":"Bone Marrow Transplantation","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Multiple myeloma; Medicine; Stem cell; Transplantation; Autologous stem-cell transplantation; Oncology; Internal medicine; Immunology; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002917642,0.0005728154,0.0007720782,0.001185406,0.0006646164,0.0007993144,0.0004641602,0.001225182,0.003328222],"category_scores_gemma":[0.003193778,0.0002144583,0.0005209392,0.0009610686,0.0005067011,0.0005365788,0.0003349156,0.0006320456,0.0005534181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932948,"about_ca_system_score_gemma":0.000360065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251566,"about_ca_topic_score_gemma":0.001154589,"domain_scores_codex":[0.9996583,0.00008494448,0.00003617805,0.00005506576,0.00007131784,0.00009421014],"domain_scores_gemma":[0.9986109,0.000626561,0.0003637068,0.0000590031,0.00007910297,0.0002608229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001630409,0.0001884447,0.9799889,0.00002070248,0.00009359995,0.003684983,0.0001215105,0.0002693945,0.005012026,0.0001887591,0.0004689103,0.008332368],"study_design_scores_gemma":[0.000172861,0.0008450382,0.9708293,0.00002412914,0.0003033408,0.02131453,0.0004665374,0.001594167,0.001875689,0.001216197,0.001332237,0.00002596343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998078,0.0001784953,0.00005687917,0.000268796,0.00001763268,0.000008590419,0.00007590318,0.000005111539,0.001310536],"genre_scores_gemma":[0.9994123,0.00007307282,0.00009872591,0.00009818817,0.00003694128,0.000005213852,0.0001009672,0.000003303967,0.0001713304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003328222,"threshold_uncertainty_score":0.01113403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272838917331728,"score_gpt":0.2412562163791693,"score_spread":0.228527827205852,"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."}}