{"id":"W2909080277","doi":"10.1002/ecy.2616","title":"Intraguild predation enhances biodiversity and functioning in complex food webs","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trophic level; Food web; Intraguild predation; Ecology; Biomass (ecology); Ecosystem; Predation; Biodiversity; Trophic cascade; Food chain; Environmental science; Apex predator; Biology; Predator","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004873075,0.0005489952,0.0004288463,0.0006449306,0.0005454866,0.001094267,0.000519008,0.0006385977,0.001264769],"category_scores_gemma":[0.002110602,0.0003258733,0.0006817823,0.0003429234,0.0006985898,0.001378487,0.001499267,0.000466991,0.00008954748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753046,"about_ca_system_score_gemma":0.0004266001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868545,"about_ca_topic_score_gemma":0.005192882,"domain_scores_codex":[0.9997831,0.00006918851,0.00001318603,0.00004123562,0.00004147593,0.0000518107],"domain_scores_gemma":[0.9992074,0.0003084122,0.0002185468,0.00007789422,0.00004874226,0.0001390287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002325749,0.0003482405,0.156456,0.0002476271,0.0005089833,0.0009906727,0.0004981116,0.7763339,0.03972154,0.009208169,0.0004197217,0.01503448],"study_design_scores_gemma":[0.00005007086,0.0003365825,0.1382936,0.00004110904,0.0001783256,0.0004193949,0.000239905,0.8475208,0.003966034,0.008103956,0.000790134,0.00006001093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966127,0.00005714894,0.001939766,0.00003981805,0.000002820321,0.000003992918,0.00002591171,0.00001835084,0.001299534],"genre_scores_gemma":[0.9992417,0.0000411404,0.0006044835,0.000009822324,0.000001071368,0.000004152573,0.00001239947,0.000004240764,0.00008097137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003868545,"threshold_uncertainty_score":0.007692039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395691016841143,"score_gpt":0.1899366720800653,"score_spread":0.1503675703959511,"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."}}