{"id":"W3158519315","doi":"10.15173/sciential.v1i4.2425","title":"Battling Acute Myeloid Leukemia (AML) as both a Clinician and Scientist","year":2020,"lang":"en","type":"article","venue":"Sciential - McMaster Undergraduate Science Journal","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Epigenetics; Myeloid leukemia; Cancer research; Stem cell; Haematopoiesis; Bone marrow; DNA methylation; Leukemia; Chemotherapy; Myeloid; Chromatin; Medicine; Hematopoietic stem cell transplantation; Biology; Gene; Acute leukemia; Immunology; Internal medicine; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002011301,0.0004734173,0.0005866463,0.001263085,0.001947558,0.00438166,0.000711668,0.002285208,0.02187847],"category_scores_gemma":[0.004132329,0.000242654,0.0002409273,0.0007626739,0.005465538,0.002612577,0.003717177,0.004827838,0.01410395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002562614,"about_ca_system_score_gemma":0.005107753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004651307,"about_ca_topic_score_gemma":0.02320096,"domain_scores_codex":[0.9981958,0.0004925996,0.0001123356,0.0002197318,0.000797715,0.0001817434],"domain_scores_gemma":[0.9958524,0.0005398984,0.0001759799,0.0001602784,0.0006743168,0.002597245],"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":[0.00004346389,0.00004743461,0.001408786,0.0003794683,0.000006002192,0.0003207091,0.0009610643,0.00002854262,0.001316576,0.0123737,0.8702357,0.1128786],"study_design_scores_gemma":[0.00000944913,0.00002983755,0.0006498818,0.0001691298,0.000005992735,0.0005058246,0.0005712527,0.00002499868,0.0002522864,0.004267467,0.9935064,0.000007463643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004686654,0.1294678,0.00223182,0.669602,0.06509813,0.00008950066,0.0001752054,0.0004643138,0.1281846],"genre_scores_gemma":[0.06040424,0.1886856,0.006569456,0.2936138,0.05524395,0.00009761324,0.0002184724,0.0003589921,0.3948079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02187847,"threshold_uncertainty_score":0.07319069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992731136853701,"score_gpt":0.3253141441930794,"score_spread":0.2953868328245424,"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."}}