{"id":"W1924310939","doi":"10.1111/evo.12472","title":"GAPE-LIMITED PREDATORS AS AGENTS OF SELECTION ON THE DEFENSIVE MORPHOLOGY OF AN INVASIVE INVERTEBRATE","year":2014,"lang":"en","type":"article","venue":"Evolution","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"NOAA Great Lakes Environmental Research Laboratory; Great Lakes Fishery Commission; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency","keywords":"Biology; Predation; Ecology; Predator; Zooplankton; Local adaptation; Natural selection; Selection (genetic algorithm); Adaptation (eye); Introduced species; Invasive species; Zoology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003178665,0.0001519636,0.0001563528,0.0004215327,0.0004269042,0.0004248976,0.0001923758,0.0001651681,0.0006581254],"category_scores_gemma":[0.0005294636,0.0001225625,0.0001098638,0.0001698457,0.0004901666,0.0001566594,0.0004289207,0.000211658,0.00004660933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863613,"about_ca_system_score_gemma":0.0004000371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440648,"about_ca_topic_score_gemma":0.07826518,"domain_scores_codex":[0.9998327,0.00003861387,0.000007520092,0.00003834788,0.00004681301,0.00003588193],"domain_scores_gemma":[0.9995279,0.00009106673,0.0001481673,0.00003487748,0.00006566168,0.0001323196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001512312,0.00003875768,0.9217535,0.00002220462,0.00006829701,0.0001200113,0.0005509951,0.0000766732,0.07335742,0.00007866314,0.00003538748,0.003746908],"study_design_scores_gemma":[0.000001050571,0.00002803319,0.9992869,9.22809e-7,0.000006548169,0.00004319583,0.0001529948,0.00009545778,0.000344084,0.000008087321,0.0000312848,0.000001405522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999854,0.0000204527,0.0000175131,0.00000372881,1.670877e-7,8.166945e-7,0.000005814133,7.148079e-7,0.00009680145],"genre_scores_gemma":[0.9998228,0.00001364484,0.00007391695,0.000008539707,3.793838e-7,0.000001371586,0.00001760059,5.396791e-7,0.00006127293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01440648,"threshold_uncertainty_score":0.02864522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516371286653557,"score_gpt":0.2299710749847132,"score_spread":0.2148073621181776,"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."}}