{"id":"W1982055936","doi":"10.1038/leu.2010.62","title":"Prognostic variables for survival and skeletal complications in patients with multiple myeloma osteolytic bone disease","year":2010,"lang":"en","type":"article","venue":"Leukemia","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Novartis Pharmaceuticals Corporation","keywords":"Medicine; Multiple myeloma; Internal medicine; Proportional hazards model; Oncology; N-terminal telopeptide; Bone disease; Anemia; Prognostic variable; Multivariate analysis; Surgery; Osteoporosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008330205,0.0001459802,0.0002117463,0.00009988443,0.0000962815,0.00002550372,0.00005716379,0.00005375524,0.00002307381],"category_scores_gemma":[0.0005799787,0.0001098189,0.00003280925,0.0001325713,0.0001133591,0.00007745763,0.00003781195,0.0001808952,0.00001284912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070014,"about_ca_system_score_gemma":0.0002615085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153416,"about_ca_topic_score_gemma":0.0003333387,"domain_scores_codex":[0.9989549,0.0000197287,0.0001665211,0.0003010073,0.0002297333,0.0003281157],"domain_scores_gemma":[0.9988579,0.0003225575,0.00004223257,0.0002891151,0.0001241305,0.0003641118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008489031,0.0003370056,0.9920764,0.0001283266,0.00004196092,0.00002205784,0.00002956119,0.000003259844,0.0002991811,0.0003178446,0.0000439366,0.005851595],"study_design_scores_gemma":[0.01183928,0.0003175036,0.9833192,0.00006986433,0.00006590298,0.000003971137,0.00001278255,0.003675416,0.00004167481,0.0001092837,0.0004314516,0.0001136474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972067,0.00003147725,0.0001799022,0.0002343054,0.00004469018,0.00184265,0.0001410431,0.00003746306,0.0002817702],"genre_scores_gemma":[0.9952689,0.000002397041,0.003388113,0.00003912664,0.00004462626,0.0005620816,0.0004948076,0.00002646261,0.0001734965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01099038,"threshold_uncertainty_score":0.4478286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276266974811671,"score_gpt":0.2628066936860707,"score_spread":0.250044023937954,"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."}}