{"id":"W4293248151","doi":"10.1101/2022.08.23.504941","title":"A cosmic view of ‘tundra gardens’: satellite imagery provides a landscape-scale perspective of Arctic fox ecosystem engineering","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Churchill Northern Studies Centre; University of Manitoba","keywords":"Tundra; Vegetation (pathology); Arctic; Arctic fox; Ecology; Productivity; Ecosystem; Normalized Difference Vegetation Index; Habitat; Environmental science; Physical geography; Satellite imagery; Arctic vegetation; Lagopus; Geography; Remote sensing; Climate change; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003052051,0.0002174635,0.0001452083,0.001988099,0.0006417983,0.003136025,0.0003144377,0.0003318343,0.001993038],"category_scores_gemma":[0.000568171,0.0001698342,0.0002492221,0.001284334,0.001338848,0.001692862,0.0006808148,0.000386045,0.0001289577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008898024,"about_ca_system_score_gemma":0.0002890498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773486,"about_ca_topic_score_gemma":0.05152635,"domain_scores_codex":[0.9998996,0.00004050035,0.000004060343,0.00002132326,0.00001655147,0.00001793355],"domain_scores_gemma":[0.9997018,0.0000581294,0.00006147751,0.00004546562,0.00006042133,0.00007265586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000208846,0.00007718852,0.5474422,0.0002985837,0.0004846127,0.001474735,0.01970759,0.0357827,0.02759676,0.2306152,0.01160145,0.1247102],"study_design_scores_gemma":[0.000009543773,0.00008861114,0.7933491,0.0002391456,0.000161215,0.0009721209,0.02120673,0.04183451,0.001914321,0.04604854,0.09412482,0.00005134781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195575,0.003591223,0.02747144,0.003848292,0.0001279748,0.00001391785,0.0008147227,0.0001382453,0.0444367],"genre_scores_gemma":[0.9933683,0.0005893529,0.004930548,0.0001156827,0.00005709604,0.000004100428,0.0001406375,0.00002887738,0.0007655052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02773486,"threshold_uncertainty_score":0.05514687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007258814772875201,"score_gpt":0.1904462233422494,"score_spread":0.1831874085693742,"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."}}