{"id":"W2346926528","doi":"10.1158/2326-6074.cricimteatiaacr15-b024","title":"Abstract B024: Single-chain traps targeting transforming growth factor-beta (TGF-beta) home to tumors and reduce tumor growth and metastasis by counteracting TGF-beta-mediated immunosuppression","year":2016,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Transforming growth factor beta; Cancer research; TGF beta signaling pathway; Antibody; CD8; Monoclonal antibody; Immunotherapy; Metastasis; Biology; TGF beta 1; Immune system; Cancer immunotherapy; Angiogenesis; Transforming growth factor; Immunology; Medicine; Cancer; Cell biology; Internal medicine","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":[0.00009577809,0.0003626187,0.0002181755,0.0002332993,0.0001061487,0.0001822856,0.0002671278,0.000389194,0.003152091],"category_scores_gemma":[0.00006146164,0.0001156822,0.0002251433,0.0001006248,0.0001407193,0.0001508689,0.0001175361,0.0003860387,0.0006199175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156166,"about_ca_system_score_gemma":0.0001813456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006460321,"about_ca_topic_score_gemma":0.0005248592,"domain_scores_codex":[0.9999248,0.000008283166,0.000004792045,0.00001486611,0.00002561679,0.00002168002],"domain_scores_gemma":[0.9999424,0.000006801487,0.00001678697,0.000003138904,0.00000768976,0.00002306181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002717698,0.00009413159,0.00004757295,0.00003784702,0.000006812993,0.00001682844,0.000004107372,0.0001082422,0.9972096,0.00007938885,0.0001025293,0.002021245],"study_design_scores_gemma":[0.0001378749,0.001797366,0.0006675375,0.000006918092,0.0000197662,0.000205619,0.000006664209,0.00103235,0.9941806,0.00003847087,0.001902038,0.000004759653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904408,0.002101375,0.004435052,0.0001143509,0.00006853578,0.00008138196,0.0003613835,0.0001806502,0.002216448],"genre_scores_gemma":[0.9876638,0.0007602996,0.005594759,0.0001004101,0.00001763348,0.00007403405,0.0006105492,0.00004284693,0.005135685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003152091,"threshold_uncertainty_score":0.01054484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05835201712480142,"score_gpt":0.3570426675124339,"score_spread":0.2986906503876324,"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."}}