{"id":"W4408361359","doi":"10.2139/ssrn.5172418","title":"Insect Richness is Promoted by Complex and Heterogeneous Habitats in Agroecosystem Landscapes","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Agroecosystem; Species richness; Habitat; Agroforestry; Ecology; Geography; Insect; Environmental science; Agriculture; 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":[0.00100655,0.0003741831,0.0005907869,0.00004682946,0.0002630779,0.0001835332,0.0005324927,0.0004008489,0.00005719119],"category_scores_gemma":[0.00002181005,0.0001593787,0.0001665796,0.0002405051,0.00003224892,0.00007969884,0.0002845337,0.002196996,0.000006753302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004670356,"about_ca_system_score_gemma":0.0002565071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009595249,"about_ca_topic_score_gemma":0.01458896,"domain_scores_codex":[0.996621,0.0003414764,0.000576874,0.0005224493,0.0002858871,0.001652367],"domain_scores_gemma":[0.9992818,0.00009089735,0.0003425029,0.00008706055,0.00007412891,0.0001235701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001310184,0.001697945,0.5595669,0.001619561,0.002169386,0.000285771,0.002381163,0.0005860452,0.06675252,0.004437076,0.01131764,0.3478759],"study_design_scores_gemma":[0.009447567,0.01136694,0.4729236,0.008062745,0.0008295147,0.01264396,0.01275028,0.01393932,0.004413227,0.3462931,0.09587982,0.01144995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897411,0.008000867,0.00002141706,0.001134606,0.0002307256,0.0004605863,0.0001546157,0.00004577693,0.0002103343],"genre_scores_gemma":[0.9971142,0.001554032,0.000005305427,0.00008438366,0.0003097959,0.00002969721,0.0001252939,0.000002293752,0.0007749579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.341856,"threshold_uncertainty_score":0.9544975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723706796954514,"score_gpt":0.2270045566595583,"score_spread":0.2097674886900132,"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."}}