{"id":"W3039887493","doi":"10.3324/haematol.2020.252916","title":"ABL-class fusion positive acute lymphoblastic leukemia: can targeting ABL cure ALL?","year":2020,"lang":"en","type":"letter","venue":"Haematologica","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Cancer Institute","keywords":"ABL; Lymphoblastic Leukemia; Medicine; Cancer research; Class (philosophy); Leukemia; Immunology; Internal medicine; Computer science; Tyrosine kinase; Receptor; Artificial intelligence","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":[0.001359429,0.0005666445,0.001030125,0.0004735838,0.001675173,0.002114883,0.0009207026,0.02358225,0.006655397],"category_scores_gemma":[0.006255246,0.0003377145,0.0007752518,0.000351813,0.001551558,0.002276084,0.0008206532,0.01617631,0.00487713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003151958,"about_ca_system_score_gemma":0.002474931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540392,"about_ca_topic_score_gemma":0.005500161,"domain_scores_codex":[0.9991266,0.000271672,0.00008592301,0.00008558941,0.0002386204,0.0001916385],"domain_scores_gemma":[0.9982784,0.0009095015,0.00009627449,0.00005018423,0.0001991545,0.0004664724],"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":[0.0002524013,0.0001150486,0.002205127,0.0001203205,0.00002984705,0.01185256,0.0001280208,0.0002826133,0.0009518561,0.01319282,0.9239245,0.04694489],"study_design_scores_gemma":[0.0002894073,0.0002076889,0.001801303,0.0003822768,0.00005570511,0.01423337,0.00042625,0.0008331303,0.0004461671,0.03154204,0.9497346,0.00004808624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001106424,0.002756078,0.0001224341,0.9823078,0.006375137,0.00001252283,0.00005930401,0.00002155955,0.007238728],"genre_scores_gemma":[0.01762534,0.008608589,0.0006501547,0.897108,0.06034162,0.00004926469,0.000116509,0.00004020602,0.01546036],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02358225,"threshold_uncertainty_score":0.02286911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153059599786286,"score_gpt":0.274821907016485,"score_spread":0.2532913110186222,"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."}}