{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097718,0.0001875811,0.0004428131,0.001033723,0.0002126295,0.0004596506,0.0002541569,0.0002618201,0.001948478],"category_scores_gemma":[0.00214861,0.0001480221,0.0003398714,0.0006361387,0.0005236184,0.0002240363,0.0005752978,0.0004159321,0.0003414988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055194,"about_ca_system_score_gemma":0.0001241819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003210819,"about_ca_topic_score_gemma":0.0005692385,"domain_scores_codex":[0.9986575,0.0002718969,0.0001167189,0.0004823601,0.0003751256,0.00009651048],"domain_scores_gemma":[0.9974444,0.001110662,0.0006165653,0.0004402597,0.0002171075,0.0001710771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004904645,0.00004482736,0.4879497,0.0004630027,0.0004922414,0.0005494029,0.0004711014,0.0002724389,0.462557,0.0008946984,0.0007284256,0.04508679],"study_design_scores_gemma":[0.000004927059,0.00009780267,0.9798979,0.00001845552,0.00007338143,0.001577321,0.0000988401,0.0001583745,0.01486413,0.0005862782,0.002603869,0.00001866889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837096,0.004117779,0.005645826,0.0001540205,0.00003169183,0.00001304998,0.003543742,0.0001089104,0.002675447],"genre_scores_gemma":[0.9942205,0.001001916,0.001727183,0.0001155956,0.00002130386,0.00001991823,0.002328411,0.00005120331,0.0005138862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001948478,"threshold_uncertainty_score":0.006518304,"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."}}