{"id":"W4387729326","doi":"10.1158/1055-9965.epi-23-0908","title":"Male-Pattern Vertex Baldness Trajectories, Chest Hair Patterns, and Odds of Overall and Aggressive Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Jewish General Hospital; University of Ottawa; Department of National Defence; Université de Montréal; Université Laval; Centre hospitalier de l'Université Laval; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Canadian Cancer Society; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Male-pattern baldness; Odds ratio; Medicine; Prostate cancer; Internal medicine; Case-control study; Logistic regression; Oncology; Cancer; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003583091,0.0002812229,0.0001877743,0.0005419375,0.0004438451,0.0007441172,0.0004640183,0.0002354786,0.002369898],"category_scores_gemma":[0.001296806,0.0001863016,0.0004090093,0.0006523873,0.0002781821,0.0001833176,0.0003245822,0.0003873628,0.0001388514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150646,"about_ca_system_score_gemma":0.001115522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3154902,"about_ca_topic_score_gemma":0.3028186,"domain_scores_codex":[0.9997315,0.00003942174,0.00001019276,0.00007467666,0.00006308823,0.0000811056],"domain_scores_gemma":[0.9989684,0.00006408266,0.0004749014,0.00005396713,0.0001269814,0.0003117101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000294679,0.000005471117,0.999128,0.000003077592,0.00002826209,0.00001829997,0.00002750339,0.00003901973,0.00007646047,0.00001031302,0.00005214832,0.0005818901],"study_design_scores_gemma":[0.000001067883,0.00001147458,0.9997426,0.000001937304,0.000009743938,0.00004273087,0.00004009725,0.00007452361,0.0000156215,0.000009587139,0.00004970753,0.000001024248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980971,0.0004307748,0.0001210531,0.00006634033,0.000003826392,0.00001117682,0.0007046644,0.00001240716,0.0005526664],"genre_scores_gemma":[0.9994124,0.00008934408,0.00005469406,0.000006377492,0.000002543096,0.000001586315,0.0002727541,0.000001539715,0.0001587544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3154902,"threshold_uncertainty_score":0.6273077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692922019494954,"score_gpt":0.3468613278081774,"score_spread":0.3099321076132279,"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."}}