{"id":"W4410315829","doi":"10.1038/s41597-025-05133-2","title":"A beneficial arthropod dataset for agricultural landscapes in Western Canada, and adjacent mountain ecosystems","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Ducks Unlimited Canada; Calgary Laboratory Services; Simon Fraser University; University of Calgary","funders":"Alberta Innovates; Alberta Innovates Bio Solutions; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Canola Producers Commission; TD Friends of the Environment Foundation; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; Alberta Biodiversity Monitoring Institute; Saskatchewan Canola Development Commission; Alberta Conservation Association","keywords":"Arthropod; Agriculture; Ecosystem; Geography; Ecology; Ecosystem services; Agroforestry; Environmental resource management; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003287594,0.000641727,0.0005003843,0.004169633,0.001885848,0.0011626,0.001257772,0.0004122271,0.00490434],"category_scores_gemma":[0.001907527,0.0002903554,0.0004977413,0.009182876,0.000350753,0.0004154762,0.001014199,0.0005780584,0.001991642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0107043,"about_ca_system_score_gemma":0.01854122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830669,"about_ca_topic_score_gemma":0.9938049,"domain_scores_codex":[0.9995285,0.00001777542,0.00004337951,0.0001070927,0.0001872054,0.0001160212],"domain_scores_gemma":[0.9978897,0.00008944222,0.0002243787,0.0001281643,0.001372158,0.0002961864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003234692,0.0001330969,0.4300957,0.001146575,0.0004106888,0.0004073257,0.001037955,0.001785217,0.001951962,0.001359947,0.5207298,0.04061819],"study_design_scores_gemma":[0.00006856487,0.00002112747,0.7806079,0.0002947739,0.00008730527,0.0001975826,0.001175327,0.001276341,0.0004895792,0.0002759707,0.2154511,0.0000545832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03571964,0.0005311604,0.0002536841,0.00009555125,0.00001274968,0.00007330558,0.9607448,0.0001268194,0.002442289],"genre_scores_gemma":[0.04263373,0.0003642667,0.00154979,0.00009484964,0.000007812277,0.0001563488,0.9532947,0.00002867577,0.001869766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01693314,"threshold_uncertainty_score":0.07766545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240030823445312,"score_gpt":0.2504399126110274,"score_spread":0.2380396043765743,"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."}}