{"id":"W3086117189","doi":"10.1038/s41598-020-71888-w","title":"Local management and landscape structure determine the assemblage patterns of spiders in vegetable fields","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Recruitment Program of Global Experts; Charles Sturt University","keywords":"Species richness; Ecology; Abundance (ecology); Spider; Agroecosystem; Habitat; Grassland; Biodiversity; Geography; Species evenness; Biology; Agriculture","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":[0.000159254,0.0001152976,0.0001911196,0.0009006655,0.0002356082,0.0003441567,0.0001307007,0.0001187298,0.0006268125],"category_scores_gemma":[0.0003596975,0.0001188123,0.0001171566,0.0004355361,0.0003701037,0.0002086631,0.0002920066,0.00008261525,0.00009103301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003566138,"about_ca_system_score_gemma":0.0001368094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00579625,"about_ca_topic_score_gemma":0.02046873,"domain_scores_codex":[0.9998595,0.00003007148,0.000009550841,0.00005579679,0.00001590993,0.00002932066],"domain_scores_gemma":[0.9996388,0.00006526048,0.0001467191,0.00002386923,0.00003320374,0.00009212326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002075088,0.00005620279,0.9204516,0.00005567709,0.00006118876,0.0002002068,0.0006216337,0.0003413955,0.07219023,0.00005844533,0.0000528071,0.00570312],"study_design_scores_gemma":[0.000001022598,0.00002426986,0.9995983,0.000001091066,0.000003147036,0.00002900257,0.0001180775,0.00008018159,0.0001004033,0.00001132671,0.00003197175,0.00000117869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998264,0.00003384083,0.00002257736,0.000001754077,1.278634e-7,0.000001054344,0.00001595594,0.000001262488,0.00009713353],"genre_scores_gemma":[0.9998243,0.0000177632,0.00004151222,0.000001836422,4.168849e-7,0.000001310403,0.00004295165,9.080221e-7,0.00006900125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00579625,"threshold_uncertainty_score":0.01152503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008348571488633,"score_gpt":0.1965539162247095,"score_spread":0.1864704305098232,"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."}}