{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003764923,0.00007972222,0.000122529,0.000007770111,0.0003204621,0.0000155327,0.0001245366,0.00002540627,0.00003113363],"category_scores_gemma":[0.0005282152,0.00002126232,0.00004943258,0.0003243583,0.0009297311,0.00005248108,0.0000468643,0.0001027256,0.000002074599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000364794,"about_ca_system_score_gemma":0.00002540067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007346376,"about_ca_topic_score_gemma":0.003319348,"domain_scores_codex":[0.9986188,0.0006843933,0.0001917425,0.0001401228,0.0002044581,0.0001604797],"domain_scores_gemma":[0.9984701,0.001248518,0.000110519,0.00007911634,0.00007094799,0.00002077831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384574,0.0004593576,0.782708,0.0000430466,0.00006243209,0.00005511694,0.002218448,0.0000250932,0.004009913,0.2022294,0.0001028543,0.007747893],"study_design_scores_gemma":[0.0007413356,0.0005314496,0.9837918,0.00004110105,0.00001490005,0.00003486927,0.01029683,0.00004673583,0.000281191,0.004049247,0.0001104632,0.00006008016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995628,0.002301141,0.00005313115,0.0001474719,0.0001174507,0.0008923413,0.000008540559,0.000003759671,0.0008481406],"genre_scores_gemma":[0.9997798,0.00008207773,0.0000398314,0.000006376673,0.00001391789,0.00003045987,2.203648e-7,3.783121e-7,0.00004699537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2010838,"threshold_uncertainty_score":0.3425633,"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."}}