{"id":"W2956171117","doi":"10.1002/ecy.2815","title":"Traits of litter‐dwelling forest arthropod predators and detritivores covary spatially with traits of their resources","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Detritivore; Predation; Biology; Ecology; Palatability; Trophic level; Trait; Litter; Predator; Abiotic component; Ecosystem","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":[0.0002636912,0.0002503013,0.0002176147,0.0008714728,0.0005583631,0.0006004393,0.0002398055,0.0002212999,0.001521157],"category_scores_gemma":[0.0008729821,0.0001834484,0.0001788995,0.0007735047,0.0004758958,0.0002910044,0.0003292522,0.0001873601,0.0001102866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112204,"about_ca_system_score_gemma":0.0007156456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2292579,"about_ca_topic_score_gemma":0.5067434,"domain_scores_codex":[0.9998083,0.00002793686,0.000008321946,0.00006674667,0.00004038831,0.00004836121],"domain_scores_gemma":[0.9989796,0.0001856273,0.0004253103,0.00007547923,0.0001889492,0.0001449771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003191603,0.000008434925,0.989583,0.00001061651,0.00003468155,0.00002847564,0.0001742853,0.00007506655,0.007388965,0.00002480343,0.00003481852,0.002604999],"study_design_scores_gemma":[2.980489e-7,0.000006722484,0.9997602,7.67869e-7,0.000002430836,0.00001673607,0.00005345127,0.00007166029,0.00005752374,0.000005949745,0.00002346758,7.785982e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994118,0.00005500658,0.0001386788,0.000007660105,4.523811e-7,0.000002581589,0.0001204577,0.000002618462,0.0002606188],"genre_scores_gemma":[0.999378,0.00002402002,0.0001750881,0.00001065773,0.000001051804,0.000003168413,0.0001719552,0.000001490886,0.0002346168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2292579,"threshold_uncertainty_score":0.4558469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651773117358846,"score_gpt":0.1808576204668706,"score_spread":0.1643398892932821,"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."}}