{"id":"W1980038806","doi":"10.1111/eea.12213","title":"Impact of plant architecture and extraguild prey density on intraguild predation in an agroecosystem","year":2014,"lang":"en","type":"article","venue":"Entomologia Experimentalis et Applicata","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Grain Research Centre","funders":"Canada Research Chairs","keywords":"Intraguild predation; Biology; Predation; Aphid; Harmonia axyridis; Agroecosystem; Abiotic component; Chrysoperla carnea; Soybean aphid; Population density; Ecology; Population; Agronomy; Aphididae; Predator; Botany; PEST analysis; Coccinellidae","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112187,0.0001586538,0.000212416,0.00002907169,0.00005681334,0.00004416556,0.000204129,0.00009755255,0.00009159683],"category_scores_gemma":[0.00001445086,0.00006614816,0.0000585208,0.00009677558,0.00003427701,0.00009847291,0.00005529254,0.0001385598,0.000005595034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000477642,"about_ca_system_score_gemma":0.000004364681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798944,"about_ca_topic_score_gemma":0.00152134,"domain_scores_codex":[0.9989603,0.000163349,0.0002271591,0.0003357988,0.0001235318,0.0001898902],"domain_scores_gemma":[0.9995213,0.0001437763,0.0001149264,0.0001282203,0.00001827168,0.00007350909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002879064,0.000367962,0.02442713,0.000004881997,0.0000156584,0.000002604622,0.0003355968,0.00002518268,0.964166,0.001467623,0.0001621581,0.008737342],"study_design_scores_gemma":[0.0007977362,0.003230349,0.2556094,0.00007227877,0.00001358811,0.0001347536,0.0004888689,0.001206715,0.7373176,0.0005299388,0.0001826564,0.0004161791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987295,0.00003141176,0.0000380754,0.00009172349,0.00003355289,0.0004100587,0.0002268281,0.00003787168,0.0004009473],"genre_scores_gemma":[0.999174,0.00000758549,0.00006545364,0.00009787075,0.00006355899,0.00008951349,0.0004927854,0.000001447374,0.00000777397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311823,"threshold_uncertainty_score":0.2719477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411919575291971,"score_gpt":0.2725632065241931,"score_spread":0.2584440107712734,"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."}}