{"id":"W2082776958","doi":"10.1111/j.0014-3820.2003.tb00320.x","title":"THE CONSTANCY OF THE G MATRIX THROUGH SPECIES DIVERGENCE AND THE EFFECTS OF QUANTITATIVE GENETIC CONSTRAINTS ON PHENOTYPIC EVOLUTION: A CASE STUDY IN CRICKETS","year":2003,"lang":"en","type":"article","venue":"Evolution","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Council; University of British Columbia; McGill University","keywords":"Biology; Evolutionary biology; Quantitative genetics; Divergence (linguistics); Principal component analysis; Selection (genetic algorithm); Genetic variation; Genetic divergence; Matrix (chemical analysis); Zoology; Genetics; Statistics; Genetic diversity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001150755,0.000515357,0.0006451556,0.001125621,0.000687686,0.0007014775,0.0005902399,0.0005388228,0.0005249705],"category_scores_gemma":[0.004226728,0.000217889,0.0006843357,0.001377796,0.00116986,0.0005133083,0.0005562291,0.0004935245,0.00004881866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956071,"about_ca_system_score_gemma":0.0002872235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666604,"about_ca_topic_score_gemma":0.01278783,"domain_scores_codex":[0.9996082,0.0001589049,0.0000288967,0.0001271543,0.00003495307,0.00004195529],"domain_scores_gemma":[0.9968427,0.002388464,0.0003491225,0.0001683052,0.000101499,0.0001498729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075507,0.00020195,0.6991592,0.0004314188,0.0008344199,0.006781473,0.001487104,0.1430737,0.0999717,0.006590573,0.0001918143,0.04020119],"study_design_scores_gemma":[0.00004149679,0.000606274,0.7689196,0.00002969635,0.0002399172,0.002448689,0.00102626,0.2139239,0.007898429,0.004068839,0.0006703006,0.0001265119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983473,0.0001486791,0.001267584,0.00001123855,4.547014e-7,0.000004153259,0.00004231228,0.000005741579,0.0001725237],"genre_scores_gemma":[0.9979374,0.00008017221,0.001877279,0.000004484321,9.531424e-7,0.000004034175,0.00003416234,0.000005507347,0.00005605961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666604,"threshold_uncertainty_score":0.0331381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228983349203451,"score_gpt":0.2607766083057318,"score_spread":0.2378782733853867,"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."}}