{"id":"W2467061066","doi":"10.1111/ele.12633","title":"A role for brain size and cognition in food webs","year":2016,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Ecology; Brain size; Cognition; Biology; Psychology; Neuroscience; Medicine","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":[0.0002981525,0.0002962431,0.0001433267,0.0006052926,0.0002269194,0.0007380901,0.0002838699,0.0003783635,0.002644921],"category_scores_gemma":[0.001825334,0.0001387889,0.0001877328,0.000201447,0.0009678911,0.0007970253,0.0005023801,0.0003617268,0.0001686955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869985,"about_ca_system_score_gemma":0.0001862542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147313,"about_ca_topic_score_gemma":0.002062571,"domain_scores_codex":[0.9998844,0.00002946292,0.000004081081,0.00004275446,0.00001872966,0.00002069202],"domain_scores_gemma":[0.9989807,0.0003798392,0.0003446524,0.00008256997,0.00005321162,0.0001590188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007118268,0.0003846707,0.7340806,0.0003051781,0.0005192388,0.00124137,0.00153637,0.002421149,0.1291333,0.01417881,0.00146511,0.1140223],"study_design_scores_gemma":[0.000004536592,0.00006743429,0.9945408,0.00001038208,0.0000216336,0.0002090445,0.00008431602,0.0006647558,0.0008131106,0.003257043,0.0003176056,0.000009400395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945939,0.0005544997,0.001018072,0.0004049744,0.00001103204,0.000002872422,0.00008444236,0.00003380025,0.003296366],"genre_scores_gemma":[0.9988688,0.00008578368,0.000516663,0.00008829826,0.00001206741,0.000004204981,0.00003345506,0.000007736473,0.0003830351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002644921,"threshold_uncertainty_score":0.008848131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572061363465892,"score_gpt":0.2829949415829791,"score_spread":0.2672743279483201,"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."}}