{"id":"W2132171352","doi":"10.1182/blood-2003-04-1165","title":"Gene expression profiling illuminates myeloma biology","year":2003,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Gene expression profiling; Biology; Gene expression; Multiple myeloma; Genetics; Computational biology; Gene; Immunology","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":[0.0002194931,0.0001231898,0.0002904877,0.0005043138,0.0001867154,0.0005580149,0.0001319248,0.0003129415,0.001022478],"category_scores_gemma":[0.0002118282,0.00008867445,0.000147755,0.0006465073,0.0002148099,0.0002555743,0.0001753761,0.0004367693,0.0002697686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015961,"about_ca_system_score_gemma":0.0001820254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003632571,"about_ca_topic_score_gemma":0.000819164,"domain_scores_codex":[0.9997868,0.00003647466,0.000009736743,0.00006439723,0.00005623065,0.00004629802],"domain_scores_gemma":[0.9999067,0.00003013296,0.00001969349,0.0000124798,0.00001823846,0.00001285208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002776028,0.00002229992,0.006512009,0.0000660532,0.00001504171,0.00007477053,0.00007377788,0.0001201764,0.9694001,0.0003430282,0.00034274,0.02275245],"study_design_scores_gemma":[0.00004326481,0.0006723251,0.3573096,0.00007817116,0.0002302797,0.001354613,0.0006347146,0.00477674,0.6001148,0.002588661,0.03215585,0.00004093926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742726,0.009158078,0.008105475,0.0006282303,0.0000780932,0.00002441088,0.002398707,0.0001353366,0.005199069],"genre_scores_gemma":[0.9825335,0.006453706,0.005721681,0.0003857948,0.0001006655,0.00003435223,0.001437292,0.00003736061,0.003295676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022478,"threshold_uncertainty_score":0.003420591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657372664807754,"score_gpt":0.3066200462234915,"score_spread":0.2800463195754139,"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."}}