{"id":"W2965356525","doi":"10.1016/j.humimm.2019.07.034","title":"OR32 Modified chimerism approach for predicting acute myeloid leukemia relapse after allogeneic hematopoietic cell transplantation","year":2019,"lang":"en","type":"article","venue":"Human Immunology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Myeloid leukemia; Hematopoietic cell; Medicine; Hematopoietic stem cell transplantation; Immunology; Haematopoiesis; Transplantation; Myeloid; Leukemia; Acute leukemia; Cancer research; Biology; Stem cell; Internal medicine; 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":[0.0008099901,0.0004531121,0.0003376871,0.001031876,0.000198336,0.0005737274,0.0003649977,0.0003956749,0.001548726],"category_scores_gemma":[0.001166324,0.0001016082,0.0002557854,0.0003348582,0.0001835541,0.0002613565,0.0004475432,0.0004922375,0.0003397665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994387,"about_ca_system_score_gemma":0.0003125652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006279114,"about_ca_topic_score_gemma":0.0007946963,"domain_scores_codex":[0.9996471,0.0001455929,0.0000217937,0.00005316614,0.00007033804,0.00006201481],"domain_scores_gemma":[0.9996753,0.00008743344,0.00007879421,0.00003551066,0.00005924415,0.00006374843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006360494,0.0004364705,0.7797572,0.0001488099,0.000297228,0.001160502,0.0001641959,0.004878239,0.07810566,0.001002105,0.001130472,0.1265586],"study_design_scores_gemma":[0.0004927737,0.00691124,0.7587188,0.0001797104,0.001620939,0.01325281,0.0006744539,0.1349138,0.06265544,0.004418195,0.01604681,0.0001150002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928359,0.0009644323,0.003390176,0.00008492701,0.00003663882,0.0000764436,0.0002107508,0.00006246158,0.002338088],"genre_scores_gemma":[0.9961337,0.0002245267,0.002818704,0.00004025741,0.00002290613,0.00003507342,0.0002111765,0.00000678998,0.0005069263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548726,"threshold_uncertainty_score":0.005181015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583977510930981,"score_gpt":0.2673176886427529,"score_spread":0.2514779135334431,"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."}}