{"id":"W2804239729","doi":"10.1155/2018/9707543","title":"Prevention of Prostate Tumor Development by Stimulation of Antitumor Immunity Using a Standardized Herbal Extract (Deep Immune®) in TRAMP Mice","year":2018,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Chongqing Medical University; Chongqing University","keywords":"Tramp; Immunostimulant; Splenocyte; Immune system; In vivo; Medicine; Tumor necrosis factor alpha; Phagocytosis; Immunology; Cancer research; Prostate cancer; Stimulation; Flow cytometry; Tumor progression; Cancer; Pharmacology; 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":[0.0001481437,0.0003786864,0.0002781267,0.0004692878,0.0001132479,0.0001675332,0.00027112,0.0002375897,0.001475693],"category_scores_gemma":[0.0000619028,0.0001400969,0.0002895457,0.000184108,0.0002085575,0.0002160322,0.0001321034,0.0008420163,0.0001796776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307284,"about_ca_system_score_gemma":0.0002590253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003334927,"about_ca_topic_score_gemma":0.0007246362,"domain_scores_codex":[0.9999069,0.00001249684,0.000006953315,0.00001977035,0.00002796215,0.0000258759],"domain_scores_gemma":[0.9999053,0.000008495272,0.00003938981,0.000009306315,0.000007204825,0.0000304129],"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":[0.001238563,0.001135417,0.0004368844,0.0001385179,0.00001779554,0.00003622294,0.00001592739,0.0001036331,0.9897218,0.00007382732,0.00007373717,0.00700759],"study_design_scores_gemma":[0.0004400505,0.01827557,0.01055856,0.00003232846,0.000106002,0.000252163,0.00004332624,0.0009147453,0.9664292,0.00007960773,0.002858303,0.00001024742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995674,0.001368471,0.001576771,0.0001116645,0.00003365802,0.00005865776,0.0003702823,0.00009088955,0.0007156272],"genre_scores_gemma":[0.9909429,0.001973412,0.003192495,0.0001015587,0.00002594829,0.0001234999,0.0005830323,0.00001564013,0.00304146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001475693,"threshold_uncertainty_score":0.004936695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05833579714335328,"score_gpt":0.3440613727578642,"score_spread":0.285725575614511,"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."}}