{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0003017153,0.00147049,0.002968033,0.0004883067,0.0004615945,0.0001752556,0.001127107,0.003214078,0.001229485],"category_scores_gemma":[0.001329582,0.001113094,0.0007472343,0.0008636026,0.0006813806,0.0001313903,0.001138988,0.005848051,0.001876014],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00516641,"about_ca_system_score_gemma":0.003821393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184563,"about_ca_topic_score_gemma":0.00001026779,"domain_scores_codex":[0.9913531,0.0005215025,0.00134198,0.002196311,0.002280024,0.002307081],"domain_scores_gemma":[0.9951783,0.001504546,0.0007509334,0.001184316,0.0006077406,0.0007741195],"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":[0.0005001732,0.0000599517,0.00006470103,0.001063661,0.001083674,0.1253942,0.0003854169,0.000006061292,0.001582939,0.00006180145,0.8694945,0.0003029573],"study_design_scores_gemma":[0.005445354,0.001780428,0.0001242659,0.001828003,0.002665346,0.01649061,0.0002392621,0.00516135,0.002932151,0.0004919374,0.961,0.001841318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005578349,0.0008050562,0.0008016055,0.9746033,0.0009378269,0.002576324,0.0007286972,0.0009911082,0.01297772],"genre_scores_gemma":[0.02865256,0.001003101,0.003790538,0.9467751,0.005031206,0.0003661594,0.006282153,0.0004471109,0.007652018],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1089036,"threshold_uncertainty_score":0.9998044,"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."}}