{"id":"W2992092023","doi":"10.3390/cancers11121930","title":"Direct Targeting Options for STAT3 and STAT5 in Cancer","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Research, Development and Innovation Office; Natural Sciences and Engineering Research Council of Canada; Hungarian Scientific Research Fund; Canadian Institutes of Health Research; Austrian Science Fund; Canadian Cancer Society; Ontario Research Foundation","keywords":"STAT3; Cancer research; STAT5; STAT protein; Leukemia; Biology; Myeloid leukemia; STAT1; Cancer; Transcription factor; Cell biology; Signal transduction; Immunology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001245846,0.0002022759,0.0009766048,0.0001797332,0.00004499437,0.00001775663,0.00004525524,0.0001049411,0.0001792248],"category_scores_gemma":[0.00008035811,0.00016615,0.0002097956,0.0001693914,0.00002964151,0.00004580392,0.00001816707,0.0002567975,0.000007472793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561331,"about_ca_system_score_gemma":0.001699183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006875771,"about_ca_topic_score_gemma":0.000149271,"domain_scores_codex":[0.999016,0.00002428305,0.000338979,0.0003146062,0.00007672996,0.0002293555],"domain_scores_gemma":[0.9993777,0.0001789383,0.0001561839,0.0001465969,0.00006014863,0.00008038992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004345105,0.00002104466,0.00002516205,0.0354193,0.0003227116,0.000008669176,0.0002433568,0.0002074462,0.0000695784,0.0001130033,0.02602021,0.9375061],"study_design_scores_gemma":[0.0003518256,0.00008912967,0.000002628287,0.01508999,0.0005643433,0.000006175334,0.00005927209,0.0001167647,0.00001144542,0.000003555536,0.9835405,0.0001644204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003246336,0.99607,0.0000370302,0.0000406079,0.0006818547,0.001196017,0.0008390257,0.00002111142,0.001081889],"genre_scores_gemma":[0.00003225169,0.9961536,0.0003058756,0.00007639196,0.0003200475,0.0007090964,0.0002808011,0.00005100869,0.002070919],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9575202,"threshold_uncertainty_score":0.6775399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216853278648594,"score_gpt":0.425011177798573,"score_spread":0.3033258499337136,"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."}}