{"id":"W2950880743","doi":"10.1097/01.hs9.0000560844.39623.aa","title":"PF640 MULTIPLE MYELOMA TREATMENT LANDSCAPE FROM 2011 TO 2017 IN ALBERTA, CANADA: RESULTS FROM THE POPULATION‐BASED “IDENTIFYING OUTCOMES IN REAL‐WORLD MULTIPLE MYELOMA” (INFORMM) STUDY","year":2019,"lang":"en","type":"article","venue":"HemaSphere","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Multiple myeloma; Lenalidomide; Medicine; Population; Bortezomib; Autologous stem-cell transplantation; Transplantation; Family medicine; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002687442,0.0005445445,0.001001972,0.0002203996,0.0001660444,0.00008061683,0.0003681569,0.0001299519,0.00107385],"category_scores_gemma":[0.0005760216,0.0003674372,0.000167833,0.000457952,0.00002110798,0.000195258,0.0001486225,0.0003305021,0.0007500376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350232,"about_ca_system_score_gemma":0.0007018021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912485,"about_ca_topic_score_gemma":0.9989643,"domain_scores_codex":[0.9960628,0.0002075634,0.0009984485,0.0009203351,0.0009620273,0.0008488421],"domain_scores_gemma":[0.9953832,0.002359535,0.000222426,0.001513625,0.00009297157,0.0004282672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002557044,0.0009871599,0.9865882,0.0000205441,0.000295966,0.000417914,0.001790017,0.0003295528,0.00006426407,0.00000200076,0.002505013,0.004442324],"study_design_scores_gemma":[0.02676487,0.0002895921,0.9641754,0.0002403644,0.00007300585,0.000001309682,0.001765469,0.004271314,0.0002940699,0.000008303895,0.001778216,0.0003380764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910524,0.0001714427,0.000003202467,0.001828842,0.0003323366,0.00427315,0.0007161249,0.0000512293,0.001571266],"genre_scores_gemma":[0.9858081,0.00002188486,0.0009012563,0.0002505958,0.0001088012,0.0003721146,0.001675472,0.00006436977,0.01079743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02420783,"threshold_uncertainty_score":0.9998778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591222453286987,"score_gpt":0.3112283706097278,"score_spread":0.2653161460768579,"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."}}