{"id":"W3110265345","doi":"10.1038/d41586-020-03223-2","title":"Outlook: Multiple myeloma","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Multiple myeloma; Computational biology; Medicine; Biology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003001626,0.001243296,0.001147098,0.001777019,0.001693976,0.003993534,0.001138695,0.00991917,0.04708814],"category_scores_gemma":[0.004811611,0.0004122087,0.001233877,0.001113056,0.001706557,0.006029022,0.003339457,0.0105759,0.02830079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577021,"about_ca_system_score_gemma":0.004332911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676884,"about_ca_topic_score_gemma":0.004331555,"domain_scores_codex":[0.9989097,0.0002373273,0.00007956106,0.0001477004,0.0003873235,0.0002383598],"domain_scores_gemma":[0.9958812,0.0006560556,0.0002604715,0.0001464407,0.001175374,0.00188047],"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":[0.00006828699,0.00003763154,0.0001459964,0.0003823098,0.00001238509,0.0001224573,0.00001415841,0.00006057339,0.0001969508,0.006671384,0.9186374,0.07365056],"study_design_scores_gemma":[0.00003765832,0.00006580311,0.0003956628,0.0005883211,0.0000252704,0.0003880296,0.00004627947,0.0000553523,0.00005100285,0.009359602,0.9889756,0.00001139694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004996607,0.3742827,0.001225682,0.3487028,0.206399,0.00004993398,0.0006072594,0.0003048361,0.06792819],"genre_scores_gemma":[0.006716056,0.320517,0.002256213,0.2938346,0.2807498,0.00009850854,0.001109636,0.0001312656,0.09458697],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04708814,"threshold_uncertainty_score":0.1575255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623447888829379,"score_gpt":0.3158637779763556,"score_spread":0.2896292990880618,"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."}}