{"id":"W2901226114","doi":"10.1002/ps.5270","title":"Optimizing aphid biocontrol with the predator <i>Aphidoletes aphidimyza</i>, based on biology and ecology","year":2018,"lang":"en","type":"review","venue":"Pest Management Science","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs","funders":"Institut National de la Recherche Agronomique","keywords":"Biology; Aphid; Intraguild predation; Ecology; Biological pest control; Abiotic component; Predation; Population; Predator; Agronomy","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":[0.00009655426,0.0003478827,0.0002238215,0.0002047973,0.0001462053,0.0004307675,0.0001655858,0.0001695336,0.0009827155],"category_scores_gemma":[0.0001076993,0.0001044705,0.0001816202,0.0001238798,0.0001005516,0.0003124552,0.0002050951,0.0003569216,0.0002849599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221857,"about_ca_system_score_gemma":0.0002618244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000248,"about_ca_topic_score_gemma":0.002391971,"domain_scores_codex":[0.9999073,0.000008772507,0.000006552846,0.00002669588,0.00003586982,0.00001485298],"domain_scores_gemma":[0.9999567,0.000004973982,0.00001821461,0.000002040372,0.000009912342,0.000008065289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004749655,0.00009559422,0.0007866678,0.0003558462,0.00001806738,0.00002483476,0.00001283006,0.0004267053,0.9718431,0.0001196085,0.0002596501,0.02600969],"study_design_scores_gemma":[0.00008191467,0.003301582,0.05461258,0.0001474719,0.0002663148,0.0004152673,0.0001300049,0.01101208,0.9028319,0.000413338,0.02675084,0.00003680112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9496726,0.01959394,0.01658691,0.0003802803,0.00007853166,0.0002704088,0.00050264,0.0004361982,0.01247844],"genre_scores_gemma":[0.9789656,0.004895539,0.01338353,0.00016412,0.00001683991,0.00008453289,0.0002667097,0.00002186535,0.002201315],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001000248,"threshold_uncertainty_score":0.003287494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680232057424385,"score_gpt":0.2520689835176649,"score_spread":0.235266662943421,"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."}}