{"id":"W4213017791","doi":"10.1200/jco.2022.40.6_suppl.149","title":"A microRNA-based classifier for identification of neuroendocrine differentiation in metastatic castration-resistant prostate cancer.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Applied Biological Materials (Canada)","funders":"U.S. Department of Defense","keywords":"Enzalutamide; Prostate cancer; Neuroendocrine differentiation; Chromogranin A; Androgen receptor; Cancer research; LNCaP; Synaptophysin; Medicine; Androgen deprivation therapy; microRNA; Cancer; Immunohistochemistry; Biology; Pathology; Internal medicine; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008776084,0.0004913578,0.000766047,0.001797317,0.0002953024,0.0008297813,0.0004449514,0.000794403,0.001553794],"category_scores_gemma":[0.002124223,0.0001675802,0.0005319007,0.000634503,0.000171425,0.000354492,0.0004511106,0.0005327264,0.001429227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023859,"about_ca_system_score_gemma":0.0005862234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009083364,"about_ca_topic_score_gemma":0.001419248,"domain_scores_codex":[0.9993315,0.00008433909,0.00008845389,0.0001879579,0.0002347308,0.00007300116],"domain_scores_gemma":[0.9992949,0.0002214342,0.0001281871,0.00003277541,0.0002503199,0.00007242184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003145027,0.0006891809,0.2139478,0.0007833361,0.0005611376,0.001585511,0.0002044424,0.01206679,0.2816844,0.001652313,0.02130901,0.4623712],"study_design_scores_gemma":[0.0002584448,0.001874483,0.1294986,0.0001891544,0.0006942091,0.006021405,0.0002683132,0.6597466,0.1638011,0.002709927,0.0347649,0.0001728418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799945,0.007232564,0.1782218,0.001185222,0.0007274088,0.001177002,0.01359838,0.006379113,0.01148402],"genre_scores_gemma":[0.8427218,0.000620821,0.1427422,0.000510802,0.0001749088,0.000596567,0.009698076,0.0001418764,0.00279291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797317,"threshold_uncertainty_score":0.005198002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180659446807974,"score_gpt":0.5010320664564488,"score_spread":0.3203726196484749,"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."}}