{"id":"W4416619436","doi":"10.5256/f1000research.25082.r75094","title":"Referee report. For: Predicting response and toxicity to PD-1 inhibition using serum autoantibodies identified from immuno-mass spectrometry [version 1; peer review: 2 approved]","year":2020,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Servier; Regeneron Pharmaceuticals; Mersana Therapeutics; Karyopharm Therapeutics; PTC Therapeutics; Princess Margaret Cancer Foundation; Sanofi; GlaxoSmithKline; Amgen; Pfizer; MorphoSys; Celgene; Symphogen; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Toxicity; Autoantibody; Mass spectrometry; Drug; Immune system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005786796,0.0001914558,0.0005313835,0.0002466134,0.0002930602,0.00006377809,0.0001563837,0.0001442316,0.0001788136],"category_scores_gemma":[0.007444348,0.0001692756,0.0001787732,0.0006970229,0.000192418,0.0001904899,0.0002082097,0.0004259619,0.00001134031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475024,"about_ca_system_score_gemma":0.0002736504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000759794,"about_ca_topic_score_gemma":0.00002855577,"domain_scores_codex":[0.99629,0.0003389886,0.000649136,0.0005879052,0.001692051,0.0004419003],"domain_scores_gemma":[0.9968904,0.0003722114,0.0002104595,0.0004439946,0.001843206,0.0002396912],"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":[0.01139896,0.00004856172,0.001876097,0.0009531137,0.0001604846,0.00006151137,0.0006129039,9.748484e-7,0.9188369,0.000002384008,0.06509864,0.0009494501],"study_design_scores_gemma":[0.004105128,0.002047573,0.07008352,0.006418397,0.0001788705,0.00008322854,0.002018925,0.0005924392,0.7235674,0.00009239568,0.19044,0.0003721128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121414,0.002925582,0.000900711,0.0812366,0.00007141355,0.001278628,0.001072409,0.00006124273,0.0003119502],"genre_scores_gemma":[0.9723133,0.001669708,0.0117277,0.001334629,0.0003728132,0.00004851481,0.0015938,0.00006916781,0.01087029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1952695,"threshold_uncertainty_score":0.8912117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0841799796860403,"score_gpt":0.3973060153578921,"score_spread":0.3131260356718518,"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."}}