{"id":"W2287437951","doi":"10.1111/evo.12865","title":"Tipping the scales: Evolution of the allometric slope independent of average trait size","year":2016,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Science Foundation","keywords":"Allometry; Scaling; Biology; Trait; Selection (genetic algorithm); Context (archaeology); Evolutionary biology; Wing; Stabilizing selection; Morphology (biology); Adaptation (eye); Statistical physics; Ecology; Zoology; Mathematics; Genetics; Genetic variation; Paleontology; Geometry; Computer science","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":[0.0003722565,0.00007093429,0.00009393564,0.00001433294,0.0001594027,0.00000532684,0.0002133278,0.00007219784,0.00016233],"category_scores_gemma":[0.0002002416,0.00001593088,0.000119567,0.0006189834,0.0001395886,0.0001060466,0.00005870403,0.00006656827,0.000008059736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152052,"about_ca_system_score_gemma":0.00001100189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002840597,"about_ca_topic_score_gemma":0.000224153,"domain_scores_codex":[0.9990877,0.0001028179,0.000211954,0.0001759526,0.0002929114,0.0001286906],"domain_scores_gemma":[0.9995019,0.0001187442,0.0001706417,0.00008942912,0.00009887482,0.00002038421],"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":[0.00002152718,0.00005291926,0.045281,0.000003732591,0.000005215933,7.443504e-8,0.00003954575,0.000007142522,0.9337773,0.0008377518,0.00009568076,0.01987813],"study_design_scores_gemma":[0.00008653016,0.00009853716,0.9899389,0.00003046645,0.00001332078,0.000005440172,0.000157742,0.000007707898,0.008480323,0.0005658954,0.0005636255,0.00005157174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977445,0.0002676811,0.000211616,0.001004714,0.000238835,0.0001922659,0.0000214922,0.00001719604,0.0003017187],"genre_scores_gemma":[0.9991989,0.00002055283,0.00001000133,0.00000669272,0.000166378,0.000005686188,9.97259e-7,6.172991e-7,0.0005902126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9446579,"threshold_uncertainty_score":0.17774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450003312095082,"score_gpt":0.2050055065511786,"score_spread":0.1905054734302277,"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."}}