{"id":"W3022987203","doi":"10.1101/2020.05.02.074575","title":"Autoantibody landscape of advanced prostate cancer","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Janssen Biotech; National Cancer Institute; Chugai Pharmaceutical; Stand Up To Cancer; Genentech; National Institutes of Health; Svenska Läkaresällskapet; Parker Institute for Cancer Immunotherapy; Astellas Pharma; Constellation Pharmaceuticals; Prostate Cancer Foundation; Bristol-Myers Squibb; Amgen; Sanofi; Vetenskapsrådet","keywords":"Prostate cancer; Autoantibody; Medicine; Epitope; Cancer; Antigen; Oncology; Cohort; Metastasis; Immunology; Internal medicine; Antibody; Cancer research","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":[0.0001615638,0.00012752,0.0001832399,0.0007105278,0.0001926207,0.0003713538,0.0001063641,0.0001306053,0.001291154],"category_scores_gemma":[0.0002868604,0.00006652441,0.0001007025,0.0005238141,0.0001437482,0.0001059341,0.0002064626,0.0001788364,0.0001729053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597708,"about_ca_system_score_gemma":0.0001147859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008717565,"about_ca_topic_score_gemma":0.0008575476,"domain_scores_codex":[0.9998902,0.00002470883,0.000005530642,0.00002934128,0.00002788424,0.0000223751],"domain_scores_gemma":[0.9998277,0.00003345721,0.00005077502,0.000011156,0.00003224035,0.00004466297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004981837,0.00005398061,0.7124076,0.0001416521,0.0001348455,0.0008093637,0.0002688799,0.0005750562,0.2605551,0.0002069762,0.0005483736,0.02379995],"study_design_scores_gemma":[0.000007479521,0.0002171096,0.9851624,0.000009055513,0.00004280082,0.0034385,0.0002095121,0.0008119002,0.008151079,0.0002219805,0.001721593,0.000006640114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975967,0.001257852,0.0002710176,0.00004256577,0.000003731671,0.000004010457,0.0001852521,0.00001478271,0.0006241397],"genre_scores_gemma":[0.9994289,0.0001648738,0.0001384293,0.00002112773,0.000006560426,0.000001456507,0.000138681,0.000002534731,0.00009739595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291154,"threshold_uncertainty_score":0.00431937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041640287962894,"score_gpt":0.2352925182407597,"score_spread":0.2248761153611307,"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."}}