{"id":"W3198802214","doi":"10.2196/29844","title":"Selection of the Optimal L-asparaginase II Against Acute Lymphoblastic Leukemia: An In Silico Approach","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asparaginase; Erwinia; Escherichia coli; Asparagine; Streptomyces griseus; Biology; Biochemistry; Enzyme; Immunogenicity; Chemistry; Microbiology; Streptomyces; Gene; Lymphoblastic Leukemia; Bacteria; Genetics; Leukemia; Antigen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003784926,0.0002414075,0.0004911412,0.0001934365,0.0001378742,0.00002159591,0.0002880105,0.0002490476,0.00008348904],"category_scores_gemma":[0.0005250627,0.0001784828,0.0001439912,0.001405331,0.000210767,0.0001499981,0.0002748616,0.0005053271,0.00001493665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045339,"about_ca_system_score_gemma":0.00359332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009213998,"about_ca_topic_score_gemma":0.00004838019,"domain_scores_codex":[0.9974286,0.000232559,0.0004623511,0.0005335734,0.0007942505,0.0005486719],"domain_scores_gemma":[0.9984812,0.0001381741,0.0001229182,0.000682168,0.0003359106,0.0002396486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002500751,0.003270695,0.01685572,0.0006638181,0.00064585,0.00105313,0.004009051,0.008692188,0.9398964,0.0006081116,0.01454605,0.007258212],"study_design_scores_gemma":[0.02099962,0.001247813,0.06438289,0.0004717549,0.0004608547,0.001962308,0.001654688,0.4649454,0.4395738,0.00007529578,0.003565401,0.0006602073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934657,0.00005959839,0.0005194101,0.001067149,0.0001358953,0.0006310084,0.00001296377,0.00006018101,0.004048116],"genre_scores_gemma":[0.9912194,0.00003467365,0.002403147,0.0004397587,0.0001605775,0.0001245584,0.00007532786,0.00004904204,0.005493532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5003226,"threshold_uncertainty_score":0.7278317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486047030340118,"score_gpt":0.2815698448187795,"score_spread":0.2667093745153783,"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."}}