{"id":"W2552675878","doi":"10.1182/blood.v110.11.2498.2498","title":"The Multiple Myeloma Research Consortium Genomics Initiative.","year":2007,"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":"University Health Network","funders":"","keywords":"Genomics; Comparative genomic hybridization; Computational biology; Genome; Human genome; Biology; DNA sequencing; Genetics; Gene","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":[0.003998177,0.001160929,0.001056037,0.002567115,0.001073115,0.003710305,0.002122352,0.001524231,0.1446091],"category_scores_gemma":[0.004422361,0.0004459063,0.0004865482,0.006273819,0.0003400147,0.0009842316,0.002471943,0.002133413,0.09750292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002568348,"about_ca_system_score_gemma":0.009583868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971719,"about_ca_topic_score_gemma":0.02235457,"domain_scores_codex":[0.9980938,0.0003765512,0.00008873268,0.0004066344,0.0007607857,0.0002735393],"domain_scores_gemma":[0.9951016,0.0003569491,0.0003943265,0.0004222564,0.001339263,0.002385602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000199943,0.00005256212,0.001239182,0.0001141801,0.00001617744,0.00004211479,0.0000258676,0.00004205482,0.0003648059,0.002292611,0.9349049,0.06070571],"study_design_scores_gemma":[0.0001555949,0.00003022507,0.005398685,0.000124801,0.00001525154,0.00004415427,0.00004720619,0.0001319266,0.0002166109,0.001397357,0.9924278,0.0000103873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002676907,0.008516595,0.004238234,0.04986168,0.001730056,0.0008188022,0.6609035,0.01170354,0.2595508],"genre_scores_gemma":[0.009731138,0.006936924,0.03030948,0.01670336,0.0008002391,0.001529044,0.7109114,0.002820079,0.2202584],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1446091,"threshold_uncertainty_score":0.4837658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09746773302003374,"score_gpt":0.3785845686649132,"score_spread":0.2811168356448794,"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."}}