{"id":"W3088801732","doi":"10.1158/1078-0432.ccr-20-1966","title":"Autoantibody Landscape in Patients with Advanced Prostate Cancer","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Cancer Institute; Vetenskapsrådet","keywords":"Autoantibody; Medicine; Prostate cancer; Cancer; Prostate; Oncology; Internal medicine; Immunology; Antibody","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":[0.0001704998,0.0002433393,0.0002828767,0.0005289685,0.0003101365,0.000332971,0.0001749067,0.0002820736,0.001476162],"category_scores_gemma":[0.0005168954,0.0001201523,0.0001433855,0.0006177353,0.000193046,0.000189105,0.0002308822,0.0002647765,0.000194716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605463,"about_ca_system_score_gemma":0.0001514403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008386564,"about_ca_topic_score_gemma":0.001001459,"domain_scores_codex":[0.9998425,0.00003356944,0.00001210836,0.00005154616,0.00003514828,0.00002505166],"domain_scores_gemma":[0.9997528,0.00004583342,0.0001062379,0.00001312959,0.00002622166,0.00005586522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002307237,0.00003517671,0.9892557,0.00002855701,0.00004179829,0.0003959368,0.0000562811,0.00008764217,0.005798589,0.0000226993,0.0001142683,0.003932779],"study_design_scores_gemma":[0.000007259635,0.0002079117,0.9956992,0.000004164733,0.0000293293,0.002886366,0.00007450986,0.0002208551,0.0005515155,0.00003078712,0.0002854705,0.000002665495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990538,0.0004187992,0.00007755974,0.00002664561,0.000002405625,0.000004516469,0.0000938413,0.000006966511,0.0003155169],"genre_scores_gemma":[0.9997066,0.000074616,0.00005679101,0.00002063947,0.000006099307,0.000002100477,0.00008781951,0.00000105143,0.00004433353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001476162,"threshold_uncertainty_score":0.004938304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147408585984422,"score_gpt":0.4903821128765842,"score_spread":0.3756412542781419,"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."}}