{"id":"W3087626985","doi":"10.1038/s41391-020-00287-z","title":"Response to the Letter to the Editor: “Association between metformin medication, genetic variation and prostate cancer risk”—genotyping and patient categorization, do they matter?","year":2020,"lang":"en","type":"letter","venue":"Prostate Cancer and Prostatic Diseases","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Genotyping; Prostate cancer; Metformin; Categorization; Oncology; Internal medicine; Variation (astronomy); Cancer; Genotype; Genetics; Artificial intelligence; Gene","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":[0.004969962,0.0008962896,0.002243533,0.001013599,0.003259032,0.003438022,0.002157699,0.03690941,0.006737899],"category_scores_gemma":[0.03116078,0.000857613,0.001264644,0.0009950323,0.00184518,0.002224842,0.001029027,0.0317217,0.006931906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003808888,"about_ca_system_score_gemma":0.004861607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007997537,"about_ca_topic_score_gemma":0.01115334,"domain_scores_codex":[0.9964294,0.001251377,0.0005629017,0.0004705225,0.000875244,0.000410584],"domain_scores_gemma":[0.98773,0.007044387,0.0009171237,0.0002818902,0.002382909,0.001643714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008338185,0.00002589818,0.0006325089,0.00003785101,0.00001857304,0.0007622492,0.00005165209,0.00004123043,0.00008159126,0.0004749766,0.994383,0.003407059],"study_design_scores_gemma":[0.0003543062,0.0001676086,0.004681834,0.0007653197,0.0001202898,0.003253865,0.0007142788,0.001197129,0.0004131623,0.005647776,0.9825181,0.0001662991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002850389,0.0006420052,0.00007192088,0.9688357,0.02917727,0.000009405561,0.0001021468,0.00002152745,0.000855038],"genre_scores_gemma":[0.002024577,0.0006043609,0.0001434044,0.9438909,0.04972932,0.00002416559,0.00004690148,0.00002408188,0.003512244],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03690941,"threshold_uncertainty_score":0.02763551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006253460814098995,"score_gpt":0.2453508171191775,"score_spread":0.2390973563050785,"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."}}