{"id":"W2055081433","doi":"10.2134/agronj2002.2100","title":"Use of Arthropod Diversity and Abundance to Evaluate Cropping Systems","year":2002,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cropping; Agroforestry; Ecosystem services; Ecosystem; Biodiversity; Ecology; Agricultural diversification; Agriculture; Grassland; Arthropod; Abundance (ecology); Integrated pest management; Species richness; Environmental resource management; Environmental science; Biology","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":[0.0001163746,0.00005718059,0.0001031753,0.00001199599,0.0006372134,0.00009982966,0.00007455818,0.00002229577,0.000461157],"category_scores_gemma":[0.00001413847,0.00002226148,0.00004181793,0.00006100546,0.00002023742,0.0002334218,0.00007723604,0.00008623125,0.00001976158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001836849,"about_ca_system_score_gemma":0.000001559808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007231799,"about_ca_topic_score_gemma":0.00009566214,"domain_scores_codex":[0.9995059,0.00004766896,0.0001365193,0.00008537165,0.00010034,0.0001241607],"domain_scores_gemma":[0.9996526,0.00007771474,0.00008916968,0.00002111105,0.0000793849,0.0000800081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002419826,0.000370499,0.2345795,0.0000219991,0.0003151213,0.00008068801,0.002972557,0.001116476,0.1940733,0.001044058,0.02582933,0.5393545],"study_design_scores_gemma":[0.0006264681,0.0009348417,0.7825809,0.0003095084,0.0000788672,0.001095376,0.001459756,0.004763776,0.000594681,0.0001302967,0.2069533,0.000472327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985333,0.0003612296,0.00004809202,0.0004917886,0.0001718395,0.00007123993,0.000008483081,0.000005778892,0.000308242],"genre_scores_gemma":[0.9991356,0.00007092278,0.00005833299,0.0000869953,0.0001490515,0.000001238268,5.662778e-7,2.555183e-7,0.0004970169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5480013,"threshold_uncertainty_score":0.5049346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417863000218746,"score_gpt":0.2196677452925733,"score_spread":0.1654891152903858,"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."}}