{"id":"W4391809979","doi":"10.1007/s10980-024-01842-y","title":"Key questions for understanding drivers of biodiversity-ecosystem service relationships across spatial scales","year":2024,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; University of Northern British Columbia; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ecological Society of America","keywords":"Ecosystem services; Temporal scales; Biodiversity; Ecosystem; Environmental resource management; Context (archaeology); Landscape ecology; Spatial ecology; Scale (ratio); Ecology; Geography; Environmental science; Habitat; Biology; Cartography","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":[0.004263219,0.000946892,0.001015307,0.002473592,0.001242828,0.005206171,0.00141951,0.00140268,0.01138971],"category_scores_gemma":[0.01634862,0.0005050727,0.00132982,0.002699564,0.005308905,0.009837805,0.003839564,0.002023137,0.0004748493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003077847,"about_ca_system_score_gemma":0.002331283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176894,"about_ca_topic_score_gemma":0.01085474,"domain_scores_codex":[0.9983188,0.0006320661,0.0001019554,0.000426429,0.0002147994,0.000305996],"domain_scores_gemma":[0.9907712,0.004841236,0.002006813,0.0006341974,0.0009427074,0.0008038098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007622898,0.0001745991,0.2880524,0.0009325988,0.0005586584,0.0004431722,0.005157419,0.01931809,0.002591741,0.6293803,0.003312991,0.05000181],"study_design_scores_gemma":[0.00001665568,0.0001027167,0.2900881,0.0004822058,0.0001407581,0.0002504686,0.01559364,0.02296067,0.0005857172,0.6537876,0.01586562,0.0001257147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685498,0.008656712,0.1086237,0.05419273,0.0002556809,0.0003862338,0.002234354,0.0002955002,0.05680539],"genre_scores_gemma":[0.9925407,0.0009226801,0.005204953,0.0003516728,0.00005551884,0.00008569038,0.000149199,0.00002139326,0.0006684367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176894,"threshold_uncertainty_score":0.03810233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170592982480724,"score_gpt":0.2456061841346381,"score_spread":0.2139002543098309,"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."}}