{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358128,0.0004835752,0.0004227619,0.0031796,0.0004748156,0.0006515606,0.000317205,0.000391204,0.000790911],"category_scores_gemma":[0.00411514,0.0001321647,0.0003189256,0.002156887,0.0004134095,0.0007480918,0.0005258922,0.0002552475,0.0002155563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002936,"about_ca_system_score_gemma":0.0002054229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591516,"about_ca_topic_score_gemma":0.004668707,"domain_scores_codex":[0.9980302,0.000923746,0.0002476992,0.0002770902,0.0004542906,0.00006693297],"domain_scores_gemma":[0.9957567,0.002076951,0.001055174,0.0003229739,0.0005933752,0.0001947679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006973416,0.0005556152,0.8868387,0.0004669751,0.0006181264,0.0001215005,0.0006163155,0.002935022,0.04098066,0.000260146,0.0002100051,0.06569967],"study_design_scores_gemma":[0.00001896914,0.002523893,0.9831086,0.00003078611,0.0001031684,0.0003116518,0.0005216295,0.004111584,0.007992414,0.0002828336,0.000967809,0.00002670204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900488,0.0007330403,0.004769785,0.00001796144,0.00000745865,0.0002018126,0.001097657,0.00004555755,0.003077994],"genre_scores_gemma":[0.9875675,0.0003645034,0.01083567,0.00001959093,0.000006241861,0.0002034045,0.0007034357,0.000008446937,0.0002911224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0031796,"threshold_uncertainty_score":0.01247108,"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."}}