{"id":"W4387902598","doi":"10.3390/curroncol30110683","title":"Introduction of Androgen Receptor Targeting shRNA Inhibits Tumor Growth in Patient-Derived Prostate Cancer Xenografts","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"DOD Prostate Cancer Research Program; Prostate Cancer Foundation of Australia; U.S. Department of Defense; Australian Government; University of Washington; National Cancer Institute; National Institutes of Health; Prostate Cancer Foundation","keywords":"Prostate cancer; Androgen receptor; Cancer research; Cancer; Medicine; In vivo; Prostate; Cancer cell; Cell culture; Small hairpin RNA; Organoid; Biology; Internal medicine; Cell biology; Gene knockdown; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002343493,0.0002295601,0.0003094026,0.0001892233,0.0001021584,0.0003026847,0.0001845483,0.0001644501,0.001289233],"category_scores_gemma":[0.0001426903,0.0001064217,0.000187458,0.000163503,0.0001230914,0.0001254561,0.0001246607,0.0006435016,0.0002048455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667629,"about_ca_system_score_gemma":0.0003490532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048974,"about_ca_topic_score_gemma":0.002381711,"domain_scores_codex":[0.9998645,0.00002318016,0.00001288792,0.00002412925,0.00004762075,0.00002769303],"domain_scores_gemma":[0.9998833,0.00003965103,0.00002303506,0.00001573479,0.00001086891,0.00002750017],"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":[0.00009728288,0.0002255826,0.0003314374,0.00005647887,0.00001579106,0.00004096163,0.00003410901,0.0004139563,0.9931135,0.0001916464,0.0003164528,0.005162852],"study_design_scores_gemma":[0.00004420522,0.001915865,0.00583532,0.000008807835,0.00003446954,0.0003765086,0.00002788698,0.003599617,0.9823778,0.00005486067,0.005719487,0.000005315334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907755,0.001697545,0.003936339,0.00009446438,0.00005103811,0.00009313164,0.0007190125,0.0002612377,0.00237161],"genre_scores_gemma":[0.9928941,0.0009956803,0.00234023,0.00004158563,0.00001034962,0.00005036077,0.001107107,0.0000378304,0.002522739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001289233,"threshold_uncertainty_score":0.004312873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402131964323693,"score_gpt":0.3785595104920221,"score_spread":0.3245381908487852,"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."}}