{"id":"W3203315083","doi":"10.1139/facets-2020-0114","title":"Monitoring social–ecological networks for biodiversity and ecosystem services in human-dominated landscapes","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Ecosystem services; Operationalization; Conceptual framework; Environmental resource management; Sustainability; Biodiversity; Total human ecosystem; Ecosystem; Ecological systems theory; Millennium Ecosystem Assessment; Environmental change; Population; Ecology; Geography; Ecosystem health; Environmental science; Climate change; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003418505,0.0003129447,0.000207748,0.004281405,0.001181821,0.00181178,0.0006738867,0.0005949515,0.001663676],"category_scores_gemma":[0.01052783,0.0001834043,0.000335396,0.003123996,0.001587914,0.00464963,0.001684337,0.0004842821,0.0001248735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002464873,"about_ca_system_score_gemma":0.0009126155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199778,"about_ca_topic_score_gemma":0.02772365,"domain_scores_codex":[0.9985846,0.0009498592,0.00004658771,0.0002035617,0.0001598455,0.00005559958],"domain_scores_gemma":[0.99426,0.003223053,0.001502907,0.0004245813,0.0003985651,0.0001909211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553174,0.0002373854,0.566004,0.0005201173,0.0003801375,0.0003559891,0.01122453,0.06692106,0.005471673,0.1467067,0.004150569,0.1978727],"study_design_scores_gemma":[0.00001716213,0.0001702749,0.4124042,0.0004129692,0.0001590991,0.0004240756,0.01276234,0.3442908,0.003113738,0.2019184,0.02422372,0.0001032722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7934019,0.001498132,0.1721477,0.003929756,0.00003368206,0.0003170375,0.00202344,0.0002431421,0.02640526],"genre_scores_gemma":[0.96995,0.0002644678,0.02891955,0.00004149601,0.000009297059,0.00008716807,0.0002495923,0.000008358392,0.0004701197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199778,"threshold_uncertainty_score":0.02385592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312015609209218,"score_gpt":0.2287063132131567,"score_spread":0.2155861571210645,"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."}}