{"id":"W2371874718","doi":"","title":"The Effect of Yi-Shen-Huo-Xue Yin(YSHXY)Plus Arsenic Trioxide on Multiple Myeloma Lytic Bone Disease","year":2009,"lang":"en","type":"article","venue":"Liaoning zhongyi zazhi","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Medicine; RANKL; Osteoprotegerin; Multiple myeloma; Internal medicine; Bone pain; Arsenic trioxide; Bone remodeling; Bone resorption; N-terminal telopeptide; Endocrinology; Bone disease; Alkaline phosphatase; Osteoporosis; Osteocalcin; Activator (genetics); Receptor; Arsenic; Biochemistry; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005894731,0.0004709792,0.0007640791,0.0002344229,0.0004113647,0.00007628681,0.0002952205,0.0001314169,0.00006494881],"category_scores_gemma":[0.00340922,0.0002987958,0.0004564507,0.0004527941,0.00019804,0.0001094639,0.00008178751,0.0005354593,0.0003020829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362689,"about_ca_system_score_gemma":0.0002572936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001136126,"about_ca_topic_score_gemma":0.00002687862,"domain_scores_codex":[0.9965411,0.0002991639,0.0005843712,0.0006149999,0.0009942298,0.0009661093],"domain_scores_gemma":[0.9957758,0.001979906,0.0002098435,0.001157798,0.0001092286,0.0007674117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05455483,0.002341401,0.5281792,0.00106441,0.001836973,0.007176155,0.001239365,0.0009597118,0.04716337,0.001071967,0.008251548,0.3461611],"study_design_scores_gemma":[0.02637955,0.007890972,0.9025909,0.001503362,0.0005822893,0.0001047365,0.00009499384,0.01422239,0.04058859,0.0002498401,0.005195261,0.0005971085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920284,0.001518267,0.00005162187,0.001831336,0.0002447644,0.001650627,0.00003585788,0.0001747362,0.002464418],"genre_scores_gemma":[0.9934978,0.0001543651,0.0002554012,0.0002222823,0.0002785062,0.00010439,0.0000717524,0.00006016105,0.005355381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744117,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328343886262429,"score_gpt":0.2944771360255831,"score_spread":0.2811936971629588,"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."}}