{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005297054,0.0000365289,0.00007416595,0.000005923217,0.00007833964,0.0000092263,0.00003689303,0.00003363017,0.0004401211],"category_scores_gemma":[0.00000965373,0.00001519612,0.000009202494,0.00005769389,0.00002295973,0.00006124334,0.00004529442,0.00003508546,0.00008090003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007539879,"about_ca_system_score_gemma":9.943788e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004453354,"about_ca_topic_score_gemma":0.01121096,"domain_scores_codex":[0.9997045,0.00001923012,0.00005015372,0.0001080361,0.00002417312,0.00009394472],"domain_scores_gemma":[0.9998821,0.00007056481,0.00002214245,0.000004864333,0.000008096886,0.00001225221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001482949,0.00001294956,0.9581981,0.000001718957,0.000004048907,4.312108e-7,0.00003303583,6.255537e-7,0.03971005,0.0001553537,0.0005773703,0.001291509],"study_design_scores_gemma":[0.00007699054,0.0003255454,0.9922311,0.000001466767,0.00000148756,0.000001388013,0.000211549,0.00001835551,0.000248891,0.0001732361,0.00666893,0.00004111352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971278,0.00004407806,1.209354e-7,0.0008804601,0.00005017948,0.00006499164,0.00001233975,0.00001380861,0.001806254],"genre_scores_gemma":[0.9996839,0.00004009758,0.00001043175,0.0001425906,0.00003167422,0.000001672503,0.00001861872,6.06807e-8,0.00007097681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03946116,"threshold_uncertainty_score":0.6255977,"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."}}