{"id":"W1951800185","doi":"10.1111/evo.12680","title":"Evolution of sexual dimorphism in phenotypic covariance structure in<i>Phymata</i>","year":2015,"lang":"en","type":"article","venue":"Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Royal Ontario Museum","funders":"American Museum of Natural History","keywords":"Sexual dimorphism; Biology; Trait; Evolutionary biology; Genetic architecture; Sexual selection; Covariance; Divergence (linguistics); Phenotype; Zoology; Genetics; Statistics; 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":[0.0004150015,0.0001341832,0.0001644797,0.0006130435,0.0003710469,0.0004766987,0.0002185696,0.0002579117,0.000893298],"category_scores_gemma":[0.0009626879,0.0001943158,0.0002748288,0.0003890152,0.0005457256,0.0002458078,0.000513679,0.0004655129,0.0001165537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342518,"about_ca_system_score_gemma":0.0001834182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111681,"about_ca_topic_score_gemma":0.003233652,"domain_scores_codex":[0.9997837,0.00007733659,0.00001600913,0.00006412689,0.00003579725,0.00002318094],"domain_scores_gemma":[0.9992709,0.0002513324,0.0002425426,0.0001080195,0.00006301575,0.00006429063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001630359,0.00004823884,0.4423967,0.0000712715,0.0002343308,0.0002166519,0.001096149,0.001180476,0.5300239,0.002850244,0.0002145401,0.02150443],"study_design_scores_gemma":[0.000003507387,0.00002764842,0.9946417,0.000004115269,0.00001364725,0.0001908287,0.0001265749,0.001741009,0.002424127,0.0005595285,0.0002565994,0.00001067238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987947,0.00003454271,0.0007656826,0.00001806703,8.157094e-7,0.000001575728,0.00004223535,0.00001062748,0.0003318262],"genre_scores_gemma":[0.9993668,0.00001310566,0.0004587005,0.00001388409,0.000001046308,0.000002091707,0.00006649298,0.000005559918,0.00007235174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111681,"threshold_uncertainty_score":0.002988398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696190214781896,"score_gpt":0.205138439480526,"score_spread":0.168176537332707,"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."}}