{"id":"W3137968031","doi":"10.1093/jee/toab038","title":"Characterizing Resistance to Soybean Aphid (Hemiptera: Aphididae): Antibiosis and Antixenosis Assessment","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio Agricultural Research and Development Center, Ohio State University; Agricultural Research Service; Ohio State University; North Central Soybean Research Program; Ohio Soybean Council; U.S. Department of Agriculture","keywords":"Aphididae; Antibiosis; Biology; Hemiptera; Soybean aphid; Aphid; Resistance (ecology); Agronomy; Insecticide resistance; PEST analysis; Botany; Homoptera; Toxicology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688445,0.0001043108,0.0003014151,0.00004379898,0.0001118675,0.0001000377,0.0001399767,0.00006553488,0.0005122361],"category_scores_gemma":[0.00002586146,0.0000513936,0.0001077095,0.00007880983,0.00002264029,0.0001755525,0.00005496669,0.000148483,0.00001726734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007142764,"about_ca_system_score_gemma":0.0000290142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003828742,"about_ca_topic_score_gemma":0.0005437463,"domain_scores_codex":[0.9990654,0.00007446045,0.0004088468,0.0001856808,0.00006154781,0.0002040691],"domain_scores_gemma":[0.9992828,0.000177545,0.0002832363,0.00004728271,0.000094713,0.0001144319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009931275,0.00008988158,0.03862265,0.000007103303,0.0001047308,0.0001446482,0.00009831573,0.000001850269,0.948189,0.001269601,0.001639542,0.009733339],"study_design_scores_gemma":[0.001020573,0.001032257,0.7104902,0.000215049,0.0001127448,0.003027332,0.001085235,0.00006349882,0.1242775,0.001170847,0.1569146,0.0005901209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887605,0.0002160907,0.00001135395,0.008612048,0.0005648232,0.00004840999,0.00002956586,0.000006048514,0.001751127],"genre_scores_gemma":[0.9974542,0.0002771189,0.0003405555,0.001180315,0.0004079312,0.000001945045,0.000007931337,0.00000110872,0.0003289513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8239115,"threshold_uncertainty_score":0.5608626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013757162491202,"score_gpt":0.2466028995406286,"score_spread":0.2328457370494266,"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."}}