{"id":"W2555526897","doi":"10.1182/blood.v118.21.1024.1024","title":"The Multiple Myeloma Research Consortium (MMRC): Accelerated Start up and Accrual Metrics Speeds Drug Development","year":2011,"lang":"en","type":"article","venue":"Blood","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Biosimilar; Clinical trial; Receipt; Family medicine; Internal medicine; Computer science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2317018,0.0006776135,0.00140565,0.003423005,0.001004763,0.009758966,0.002379065,0.001743036,0.004996845],"category_scores_gemma":[0.2534677,0.0004354054,0.001141259,0.006198748,0.001284641,0.005176859,0.004506174,0.002335487,0.001241285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00658428,"about_ca_system_score_gemma":0.02975356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007318395,"about_ca_topic_score_gemma":0.008804144,"domain_scores_codex":[0.8530796,0.1140789,0.00654322,0.003618113,0.02055898,0.002121183],"domain_scores_gemma":[0.7805026,0.08303174,0.05191251,0.01787092,0.05273445,0.01394777],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004148996,0.0004510341,0.06441856,0.003133395,0.001070443,0.00004541399,0.0005810609,0.002589029,0.0007780272,0.01314391,0.1785067,0.7311334],"study_design_scores_gemma":[0.01534517,0.01718384,0.3730626,0.009879762,0.003972662,0.0005794184,0.001311298,0.01705774,0.005475522,0.02239766,0.5331573,0.0005769894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2388722,0.1963882,0.06776837,0.3533175,0.006448128,0.013348,0.01660088,0.005255533,0.1020011],"genre_scores_gemma":[0.7257488,0.03214278,0.1863174,0.02648095,0.004618928,0.009723884,0.0103393,0.0009614758,0.003666474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7682981,"threshold_uncertainty_score":0.9474484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1733591990452234,"score_gpt":0.3415105808589491,"score_spread":0.1681513818137257,"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."}}