{"id":"W4394606203","doi":"10.1158/2159-8290.cd-23-0539","title":"ZNF397 Deficiency Triggers TET2-Driven Lineage Plasticity and AR-Targeted Therapy Resistance in Prostate Cancer","year":2024,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institute of General Medical Sciences; Cancer Prevention and Research Institute of Texas; Terry Fox Foundation; Welch Foundation; National Cancer Institute; Prostate Cancer Foundation; Life Sciences Research Foundation; U.S. Department of Defense","keywords":"Prostate cancer; Lineage (genetic); Cancer; Cancer research; Prostate; Biology; Resistance (ecology); Medicine; Bioinformatics; Internal medicine; Genetics; Gene","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":[0.00005549845,0.0001696987,0.000203114,0.0001893525,0.0001690403,0.0002047457,0.0001975145,0.0002853745,0.001482965],"category_scores_gemma":[0.00007475349,0.0001068082,0.000171654,0.0001826492,0.0001688874,0.0001086894,0.0002247326,0.0004305404,0.0002700141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003595184,"about_ca_system_score_gemma":0.0002688215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279535,"about_ca_topic_score_gemma":0.00205486,"domain_scores_codex":[0.9998909,0.00001102845,0.000007801558,0.00001866954,0.00003862731,0.00003305069],"domain_scores_gemma":[0.9999517,0.000006523345,0.00001359935,0.000006141162,0.000003897378,0.00001812802],"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":[0.00009118401,0.00004128536,0.0004189533,0.00001801301,0.000005805454,0.000106286,0.00001038511,0.0001252528,0.9976781,0.0001510259,0.00007872474,0.001274872],"study_design_scores_gemma":[0.00002938112,0.0003293241,0.009086841,0.000003571869,0.00001249797,0.0006953976,0.00004173602,0.002445071,0.984468,0.0001592141,0.002722624,0.00000627987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969851,0.0004835863,0.0008620783,0.00009175445,0.00001407076,0.00001930759,0.0003368947,0.0001061686,0.001101048],"genre_scores_gemma":[0.9981058,0.0001910623,0.0003120397,0.00002520922,0.000001862036,0.00001589237,0.0002468917,0.00001076179,0.00109037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482965,"threshold_uncertainty_score":0.004961014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008218091518307867,"score_gpt":0.2601282679845754,"score_spread":0.2519101764662675,"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."}}