{"id":"W2112926904","doi":"10.1177/0300985810389317","title":"Prognostic Markers for Myeloid Neoplasms","year":2010,"lang":"en","type":"review","venue":"Veterinary Pathology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Myelodysplastic syndromes; Myeloid; Medicine; Immunophenotyping; Essential thrombocythemia; International Prognostic Scoring System; Internal medicine; Cytogenetics; Hematology; Pathology; Oncology; Immunology; Bone marrow; Polycythemia vera; Biology; Chromosome; Genetics","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":[0.003858031,0.0007401867,0.0006081304,0.002896116,0.0004951757,0.001038035,0.0006266855,0.0006813104,0.005252061],"category_scores_gemma":[0.007733756,0.0001619815,0.00055598,0.002369556,0.0005453744,0.00109503,0.001204726,0.001074747,0.002269666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487039,"about_ca_system_score_gemma":0.0005896526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008683802,"about_ca_topic_score_gemma":0.001224138,"domain_scores_codex":[0.9984713,0.0005147221,0.0001959604,0.0001796331,0.0004684395,0.0001699134],"domain_scores_gemma":[0.9954616,0.000989034,0.001478363,0.0003785694,0.001335226,0.0003570927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009917537,0.00009927989,0.5395135,0.0005248306,0.000216191,0.0008975801,0.0002714116,0.001369458,0.005455234,0.005252079,0.02559699,0.4198117],"study_design_scores_gemma":[0.000158606,0.001534566,0.5746965,0.001177265,0.0009223251,0.01573232,0.0005152047,0.007297974,0.01210113,0.01152254,0.3741678,0.000173723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5294462,0.2075617,0.1039404,0.02060429,0.005450972,0.001570188,0.01747377,0.002306233,0.1116462],"genre_scores_gemma":[0.8993209,0.02637005,0.04173057,0.002042835,0.002385713,0.0005040853,0.01475076,0.000109168,0.01278583],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005252061,"threshold_uncertainty_score":0.02040344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08864793962350237,"score_gpt":0.393034051982499,"score_spread":0.3043861123589966,"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."}}