{"id":"W2762323160","doi":"10.1016/s1470-2045(17)30605-8","title":"Custirsen (OGX-011) combined with cabazitaxel and prednisone versus cabazitaxel and prednisone alone in patients with metastatic castration-resistant prostate cancer previously treated with docetaxel (AFFINITY): a randomised, open-label, international, phase 3 trial","year":2017,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia; Centre Hospitalier de l’Université de Montréal; Juravinski Cancer Centre","funders":"","keywords":"Cabazitaxel; Docetaxel; Medicine; Prostate cancer; Enzalutamide; Mitoxantrone; Prednisone; Oncology; Internal medicine; Chemotherapy; Cancer; Urology; Androgen deprivation therapy; Androgen receptor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007395562,0.000461548,0.001520528,0.0001470844,0.0003641789,0.0002144274,0.0005132757,0.00012053,0.00006117206],"category_scores_gemma":[0.0004347728,0.0002744682,0.00002763434,0.0001539882,0.001012635,0.0003767596,0.0003135418,0.0003996791,0.00000343328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293567,"about_ca_system_score_gemma":0.0006688192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275693,"about_ca_topic_score_gemma":0.008907382,"domain_scores_codex":[0.9972316,0.0004384615,0.0005957586,0.0007353984,0.0003975781,0.0006012076],"domain_scores_gemma":[0.9972349,0.0004604013,0.0008195533,0.0008951316,0.0003330525,0.0002569791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.958909,0.003207393,0.03151681,0.000182931,0.001053914,0.0006416683,0.001364117,0.00003215325,0.0002740427,0.00005294461,0.0003430336,0.002422028],"study_design_scores_gemma":[0.8970001,0.03020989,0.06911595,0.0003865309,0.001479904,0.0001260117,0.0002812198,0.0004665685,0.00005770821,0.00002998805,0.0004828824,0.0003631797],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857412,0.0003153856,0.00001456399,0.003621634,0.0002023383,0.008528084,0.0004577163,0.00004888329,0.001070213],"genre_scores_gemma":[0.994422,0.0003625907,0.001896824,0.000239651,0.000147637,0.002131371,0.0002318762,0.00006561626,0.0005024806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0619088,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842271304700907,"score_gpt":0.3939221756151177,"score_spread":0.309695045145027,"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."}}