{"id":"W2585970811","doi":"10.1182/blood.v114.22.2772.2772","title":"Cytogenetic Risk Features in MDS-Update and Present State.","year":2009,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"International Prognostic Scoring System; Multivariate analysis; Univariate analysis; Myelodysplastic syndromes; Univariate; Medicine; Internal medicine; Oncology; Bone marrow; Cytogenetics; Multivariate statistics; Computer science; Biology","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":[0.0009374442,0.000312558,0.0003618109,0.001685749,0.0001019585,0.0005847048,0.0002531392,0.0002496328,0.00262105],"category_scores_gemma":[0.001204215,0.0001245114,0.0001861723,0.00187767,0.0001829863,0.0006957647,0.0003594029,0.0003884672,0.0007922816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589621,"about_ca_system_score_gemma":0.0004445646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072534,"about_ca_topic_score_gemma":0.0009787803,"domain_scores_codex":[0.9997868,0.00004640048,0.00005566795,0.0000460904,0.00004858409,0.0000164985],"domain_scores_gemma":[0.9994054,0.0001849351,0.0001515944,0.00003850134,0.0001501023,0.00006954665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009692518,0.00006245478,0.1977168,0.001075135,0.0001003821,0.0006724153,0.0001349559,0.0007334544,0.001780048,0.001277462,0.02218844,0.7732891],"study_design_scores_gemma":[0.00008753857,0.0006344666,0.7302051,0.001109736,0.0004314087,0.01503338,0.0002603449,0.001596732,0.00130528,0.001686133,0.2475936,0.00005621232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2377463,0.7096322,0.006186924,0.007155983,0.001752177,0.0001381384,0.01074823,0.0003507194,0.02628933],"genre_scores_gemma":[0.7242848,0.2378448,0.008621427,0.0007565769,0.004759084,0.0001646262,0.0159442,0.00008050598,0.007543971],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00262105,"threshold_uncertainty_score":0.00876832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009596251328094545,"score_gpt":0.2789828862528537,"score_spread":0.2693866349247591,"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."}}