{"id":"W4385711723","doi":"10.7150/ijbs.85209","title":"Therapeutic implications for localized prostate cancer by multiomics analyses of the ageing microenvironment landscape","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Sciences","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Prostate cancer; Tumor microenvironment; In vivo; Medicine; Cancer; Cancer research; Immunotherapy; Oncology; Computational biology; Internal medicine; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003097736,0.00004775946,0.0001154833,0.00006814048,0.00007427233,0.00001704078,0.0002634226,0.00002400806,0.00003214409],"category_scores_gemma":[0.00006944025,0.00002022897,0.0001151897,0.0002031238,0.000289025,0.0000366319,0.00004439364,0.00005368888,8.99243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005283083,"about_ca_system_score_gemma":0.00008127595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002134556,"about_ca_topic_score_gemma":0.000002344115,"domain_scores_codex":[0.9993302,0.00002888213,0.0002150347,0.00008903461,0.0002252054,0.0001116372],"domain_scores_gemma":[0.9994531,0.0001481273,0.0001779514,0.0000409869,0.0001435411,0.00003630581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003002075,0.0001239171,0.3828505,0.00000643319,0.0002408442,0.000003082819,0.000110715,0.0002883374,0.5855956,0.00008048383,0.001254538,0.02914536],"study_design_scores_gemma":[0.002982226,0.0008845445,0.8381662,0.000167658,0.00009575544,0.00003485479,0.0004450673,0.001734513,0.1390243,0.003142923,0.0132208,0.000101165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765403,0.001997376,0.0002430639,0.02074985,0.0001552626,0.0001857273,0.00008162802,0.000004309275,0.00004246569],"genre_scores_gemma":[0.9954531,0.003858523,0.0002119974,0.0002095993,0.00005616571,0.00001757631,0.000008381118,0.000001884338,0.0001828285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4553157,"threshold_uncertainty_score":0.1064925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1511751259054142,"score_gpt":0.4554426813982692,"score_spread":0.304267555492855,"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."}}