{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143404,0.0000773588,0.0001379142,0.00001768354,0.00003358272,0.000005589266,0.00009443276,0.00006857036,0.00001675056],"category_scores_gemma":[0.00005500467,0.00003394403,0.00001328371,0.0003669171,0.00003904569,0.0001266241,0.00003909205,0.00008433841,0.00001060656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459516,"about_ca_system_score_gemma":0.00001295824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002408952,"about_ca_topic_score_gemma":0.02292795,"domain_scores_codex":[0.9993286,0.00004415773,0.0001642658,0.0001572146,0.0001412035,0.0001646233],"domain_scores_gemma":[0.9998211,0.00002960851,0.00006295527,0.00001749684,0.00003717397,0.00003170627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014376,0.00008786948,0.5012932,0.00001193514,0.000004173954,0.000004674533,0.0002234277,0.0002811374,0.4892183,0.004981647,0.0009793808,0.002770418],"study_design_scores_gemma":[0.0002089371,0.0001238582,0.9927855,0.00002028169,0.000002690236,0.000002993793,0.0003848246,0.0003753346,0.0002029566,0.005227804,0.0005794298,0.00008546503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998176,0.001069739,0.00001883526,0.0001754243,0.00008152516,0.00008838109,0.00005239136,0.00001770674,0.0003200191],"genre_scores_gemma":[0.9997163,0.000007937087,0.00005606778,0.00001302597,0.0001298164,0.000003233411,0.00001958872,3.835701e-7,0.0000536356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4914922,"threshold_uncertainty_score":0.9949011,"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."}}