{"id":"W2783128966","doi":"10.1016/j.biocontrol.2018.01.002","title":"Estimating parasitoid impact on aphid populations in the field","year":2018,"lang":"en","type":"article","venue":"Biological Control","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs","keywords":"Soybean aphid; Biology; Parasitoid; Aphid; Parasitism; Population; Biological pest control; PEST analysis; Economic threshold; Agronomy; Ecology; Host (biology); Aphididae; Botany; Homoptera; Demography","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":[0.0008917672,0.0004322904,0.0003831533,0.0009616109,0.0003865637,0.0004725082,0.0003940475,0.000538744,0.0008482622],"category_scores_gemma":[0.00221592,0.0003563537,0.0003389959,0.0002930513,0.0002205443,0.0005644379,0.0002170598,0.0003376591,0.0001554656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009774612,"about_ca_system_score_gemma":0.0003341808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314586,"about_ca_topic_score_gemma":0.02319668,"domain_scores_codex":[0.9996073,0.0001296459,0.00001840505,0.0001179401,0.00007949158,0.00004739856],"domain_scores_gemma":[0.9972983,0.001842222,0.0003100597,0.0001601958,0.0002369908,0.0001522971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00136718,0.001047648,0.8286785,0.0001234645,0.0002711716,0.0001426433,0.0001643435,0.03089354,0.1012624,0.0001697557,0.0002611775,0.03561796],"study_design_scores_gemma":[0.00007762963,0.00174586,0.9039615,0.00001261103,0.0001569962,0.0001659161,0.0002746999,0.0768907,0.0160663,0.0003479215,0.0002699502,0.00002991662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987915,0.00003889395,0.0007180052,0.000007474585,0.000001754671,0.00001089434,0.00006900745,0.00001829058,0.0003440888],"genre_scores_gemma":[0.9976009,0.00004848471,0.001838918,0.000008256793,0.000002123977,0.000009591247,0.0001766305,0.00000237166,0.000312807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314586,"threshold_uncertainty_score":0.02613872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575613703932444,"score_gpt":0.3165064418257277,"score_spread":0.2707503047864033,"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."}}