{"id":"W3138474425","doi":"10.1038/s41416-021-01321-0","title":"Achieving clinical success with BET inhibitors as anti-cancer agents","year":2021,"lang":"en","type":"review","venue":"British Journal of Cancer","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Government of Canada","keywords":"Medicine; Cancer; Oncology; Bioinformatics; Internal medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000859048,0.000901223,0.001368595,0.001419617,0.0002762872,0.001180414,0.0009529005,0.00171027,0.004212406],"category_scores_gemma":[0.001024418,0.0003476551,0.0005673924,0.0009640097,0.0005560814,0.001263576,0.0006509781,0.003712859,0.003158202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008262497,"about_ca_system_score_gemma":0.0005820054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005741467,"about_ca_topic_score_gemma":0.001810769,"domain_scores_codex":[0.9997509,0.00004718751,0.00002893745,0.00004125065,0.00009783431,0.00003386763],"domain_scores_gemma":[0.9996495,0.000183018,0.00003748553,0.00001028507,0.00007950169,0.00004013732],"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":[0.0002735869,0.0001424556,0.0001208295,0.007652866,0.0001070942,0.0003030677,0.00006074467,0.0006286905,0.003310245,0.009598777,0.04561863,0.932183],"study_design_scores_gemma":[0.00008162305,0.000206747,0.0004823853,0.001360441,0.00005744362,0.0007999613,0.00002177853,0.000120405,0.001040033,0.001923655,0.9938914,0.00001420826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000353122,0.9958763,0.0002733088,0.0007230033,0.0003966714,0.00001033045,0.0000352133,0.00001906407,0.002312968],"genre_scores_gemma":[0.00233874,0.9934708,0.000462585,0.0008682464,0.0003197459,0.0000231849,0.00006902866,0.00000679688,0.002440873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004212406,"threshold_uncertainty_score":0.01409191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076842658982904,"score_gpt":0.4049207177462221,"score_spread":0.364152291156393,"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."}}