{"id":"W2605899719","doi":"10.1111/gcb.13714","title":"A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes","year":2017,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":434,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; Learning Partnership; Simon Fraser University","funders":"National Institute of Food and Agriculture; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Department of Agriculture","keywords":"Agriculture; Arthropod; Diversity (politics); Ecology; Geography; Agroforestry; Global change; Environmental science; Biology; Climate change","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":[0.002106722,0.0007060785,0.001010885,0.002894328,0.0002762819,0.001543622,0.0002992869,0.0004165699,0.003824542],"category_scores_gemma":[0.002424266,0.0002361005,0.001091872,0.004213273,0.0006246706,0.001556395,0.001418384,0.0006835229,0.0002560567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009959,"about_ca_system_score_gemma":0.0009304992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006619536,"about_ca_topic_score_gemma":0.0105362,"domain_scores_codex":[0.9993443,0.0001565122,0.00006850265,0.0002693365,0.00009167585,0.00006958698],"domain_scores_gemma":[0.9959661,0.001594921,0.0008891418,0.000515476,0.0006925172,0.0003418605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006737822,0.0001288124,0.3789383,0.0304139,0.008774311,0.0002700498,0.002719389,0.003678912,0.01940965,0.00344959,0.01079202,0.5407512],"study_design_scores_gemma":[0.00001062909,0.0002253543,0.9619926,0.002025389,0.00222318,0.0001233425,0.001060197,0.0004294051,0.0006534707,0.001506583,0.02971336,0.00003645904],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5742471,0.3723406,0.008691051,0.005699592,0.0007713059,0.0001300906,0.024039,0.0002886003,0.01379254],"genre_scores_gemma":[0.8828592,0.0978346,0.008309431,0.001620553,0.0003223132,0.0001053738,0.007500023,0.00008508252,0.001363437],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006619536,"threshold_uncertainty_score":0.01316202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04957906457054592,"score_gpt":0.3124878509455656,"score_spread":0.2629087863750197,"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."}}