{"id":"W2342550970","doi":"10.1098/rstb.2015.0268","title":"The meaning of functional trait composition of food webs for ecosystem functioning","year":2016,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ecology; Trait; Food web; Ecosystem; Trophic level; Biology; Functional diversity; Niche; 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":[0.004549222,0.001081019,0.00133306,0.0028551,0.0004777987,0.002605582,0.0009807728,0.001490442,0.0009905659],"category_scores_gemma":[0.009628803,0.0003429948,0.001161823,0.002902371,0.00511022,0.003823681,0.001071622,0.002385921,0.0003458585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412593,"about_ca_system_score_gemma":0.0005680537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016868,"about_ca_topic_score_gemma":0.0007335631,"domain_scores_codex":[0.9980882,0.000865563,0.000234015,0.0004588379,0.0002945719,0.00005873822],"domain_scores_gemma":[0.9902599,0.007947481,0.0008904043,0.0003600539,0.0004557289,0.0000863025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002514138,0.00008393701,0.03001757,0.01839216,0.001928942,0.0007140493,0.002194185,0.0112389,0.0135141,0.3634466,0.007297674,0.5509205],"study_design_scores_gemma":[0.00002516487,0.0003790178,0.1446539,0.007097455,0.0009382097,0.002417188,0.001086236,0.0112733,0.004194459,0.6552975,0.1722135,0.0004239382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03451528,0.8887166,0.05807314,0.008103292,0.001102655,0.00003469788,0.0009576295,0.0001148432,0.008381817],"genre_scores_gemma":[0.4070134,0.5539761,0.03026919,0.00404783,0.002295075,0.0001627743,0.0007356161,0.0000972133,0.001402711],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004549222,"threshold_uncertainty_score":0.02405888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640035781200006,"score_gpt":0.2706016290785262,"score_spread":0.1065980509585256,"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."}}