{"id":"W2154334559","doi":"10.1111/jeb.12767","title":"Does plasticity enhance or dampen phenotypic parallelism? A test with three lake–stream stickleback pairs","year":2015,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; McGill University; Howard Hughes Medical Institute; National Science Foundation","keywords":"Stickleback; Biology; Phenotypic plasticity; Parallelism (grammar); Gasterosteus; Parallel evolution; Evolutionary biology; Phenotype; Test (biology); Fish <Actinopterygii>; Ecology; Genetics; Fishery; Gene; Parallel computing; Phylogenetics; Computer science","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":[0.0005077977,0.0002836104,0.0004583607,0.0003909076,0.0006863896,0.0003255749,0.0004825242,0.0004077763,0.001077418],"category_scores_gemma":[0.0009954813,0.0001961342,0.0004411905,0.0002115208,0.0008632356,0.00027977,0.0009151385,0.0004877646,0.00007526285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038216,"about_ca_system_score_gemma":0.0003675165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685511,"about_ca_topic_score_gemma":0.006325891,"domain_scores_codex":[0.9996266,0.0001125223,0.00003435403,0.0001372366,0.00005287753,0.00003636269],"domain_scores_gemma":[0.9989593,0.0003843363,0.0001620845,0.0001798584,0.00008252852,0.0002318856],"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":[0.004221395,0.001809648,0.226541,0.0001623385,0.0004584838,0.0009697191,0.001521016,0.002171476,0.7466698,0.0005968822,0.000150627,0.01472759],"study_design_scores_gemma":[0.0002004007,0.007905895,0.9476541,0.00001030471,0.0002298075,0.0005541691,0.0007636543,0.005259593,0.03636319,0.0004960325,0.0005149036,0.00004783553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997559,0.000008199337,0.0001310678,0.00000463357,0.000001195572,0.000007955039,0.00001568852,0.000002278322,0.00007307271],"genre_scores_gemma":[0.9989744,0.00001152398,0.0006771763,0.00002514495,0.0000022441,0.0000378297,0.00007898604,0.000003874378,0.0001887411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003685511,"threshold_uncertainty_score":0.007328093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008740464691028,"score_gpt":0.2525625436722212,"score_spread":0.2224751390253109,"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."}}