{"id":"W2671308999","doi":"10.1038/ncomms15475","title":"Prevalence of sexual dimorphism in mammalian phenotypic traits","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":272,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto Centre for Phenogenomics","funders":"National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; National Cancer Institute; Medical Research Council; National Institutes of Health","keywords":"Sexual dimorphism; Phenotype; Biology; Mutant; Wild type; Genetics; Sex characteristics; Evolutionary biology; Gene; Zoology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576361,0.00007578023,0.0001565855,0.00007569737,0.0002099439,0.00000933599,0.0009456639,0.0002279777,0.00004440077],"category_scores_gemma":[0.0004583293,0.0000709296,0.00002674258,0.00007947949,0.0001898044,0.00007104069,0.0001889423,0.0008327662,0.000008767145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478881,"about_ca_system_score_gemma":0.0001048408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331189,"about_ca_topic_score_gemma":0.001082929,"domain_scores_codex":[0.9992727,0.00007245387,0.0002171336,0.0001571361,0.0001464746,0.0001341184],"domain_scores_gemma":[0.9967081,0.0001170206,0.0001215815,0.002858355,0.0001280937,0.00006684165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007349021,0.0004348945,0.9090626,0.0009061072,0.00003619375,0.00000672985,0.002958215,0.000001273257,0.00293687,0.02029052,0.00206795,0.0612251],"study_design_scores_gemma":[0.0004509852,0.00006285378,0.9920936,0.00009964869,0.00002958817,0.00001048708,0.0002104554,0.00005958055,0.0002253118,0.0003656358,0.006332554,0.00005928268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274081,0.02046276,0.00001020541,0.03342612,0.0002259115,0.0006426524,0.00007121613,0.00004345125,0.01770959],"genre_scores_gemma":[0.9950449,0.000423599,0.003173946,0.0003664054,0.00004782416,0.00002435103,0.00002388208,0.00001004284,0.0008850885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08303096,"threshold_uncertainty_score":0.3618001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09020180865302042,"score_gpt":0.3955050037871099,"score_spread":0.3053031951340895,"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."}}