{"id":"W2118067068","doi":"10.1016/j.beha.2005.02.003","title":"Gene expression profiling and multiple myeloma","year":2005,"lang":"en","type":"review","venue":"Best Practice & Research Clinical Haematology","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Gene expression profiling; Multiple myeloma; Computational biology; Biology; Gene expression; Gene; Profiling (computer programming); Bioinformatics; Cancer research; Genetics; Immunology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001180834,0.001174102,0.002661102,0.00351355,0.0003073514,0.001517498,0.001110888,0.001613371,0.003018203],"category_scores_gemma":[0.00132726,0.0004714781,0.0006816549,0.004894318,0.0007561899,0.00154389,0.0008995222,0.001761388,0.002337264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008598919,"about_ca_system_score_gemma":0.001582302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180373,"about_ca_topic_score_gemma":0.002276113,"domain_scores_codex":[0.9995944,0.0000680957,0.00007198996,0.00007245433,0.0001633584,0.0000297843],"domain_scores_gemma":[0.9992998,0.0003428908,0.0001375305,0.00002677693,0.0001524834,0.00004058773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000136091,0.00007056206,0.0002583895,0.01259995,0.0001327857,0.0002256294,0.00003379451,0.0002865701,0.002895376,0.001889816,0.03341119,0.9480599],"study_design_scores_gemma":[0.00005586842,0.0001509842,0.002248208,0.00560981,0.0004199365,0.002103515,0.00007716742,0.0002244166,0.002230409,0.002591665,0.9842474,0.00004050931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008514991,0.9985005,0.0002100133,0.0003386605,0.000294509,0.000004363404,0.00001920163,0.000009048428,0.000538527],"genre_scores_gemma":[0.0005892405,0.9978789,0.0002821638,0.0003685986,0.0002719457,0.000007304296,0.00004003815,0.00000133223,0.0005605306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00351355,"threshold_uncertainty_score":0.01009691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3913591458890733,"score_gpt":0.5953547236227015,"score_spread":0.2039955777336282,"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."}}