{"id":"W1999251659","doi":"10.1046/j.1526-0992.2001.01034.x","title":"Ecosystem Health and Its Measurement at Landscape Scale: Toward the Next Generation of Quantitative Assessments","year":2001,"lang":"en","type":"article","venue":"Ecosystem Health","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Western University","funders":"U.S. Environmental Protection Agency","keywords":"Geospatial analysis; Data science; Scale (ratio); Ecosystem health; Temporal scales; Environmental resource management; Computer science; Geography; Resource (disambiguation); Spatial ecology; Ecosystem services; Ecosystem; Ecology; Cartography; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03218394,0.00135917,0.001473626,0.008013025,0.0005170075,0.007265832,0.002272319,0.001669068,0.001801653],"category_scores_gemma":[0.05126373,0.0005210705,0.0009242971,0.005586812,0.004917111,0.008082174,0.003401966,0.00301391,0.0003198479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165504,"about_ca_system_score_gemma":0.002318879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026649,"about_ca_topic_score_gemma":0.003230629,"domain_scores_codex":[0.9829563,0.01198014,0.001246874,0.001090907,0.002555072,0.0001707232],"domain_scores_gemma":[0.9383604,0.03926932,0.006643312,0.006563683,0.00832794,0.0008352454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001669742,0.0004579837,0.1182321,0.003270833,0.0009412096,0.0002043292,0.001628538,0.05939708,0.006240702,0.3348569,0.01536272,0.4592406],"study_design_scores_gemma":[0.00003671858,0.0008984332,0.0685323,0.003072652,0.0003175352,0.000511499,0.004332572,0.202545,0.005424264,0.6535279,0.06042035,0.000380708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02336319,0.01704558,0.9328308,0.01430597,0.0004061146,0.0003172751,0.001888485,0.0004830048,0.009359531],"genre_scores_gemma":[0.3803959,0.01202008,0.6016863,0.002263982,0.00092387,0.0006936142,0.0008039635,0.00009671328,0.001115573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03218394,"threshold_uncertainty_score":0.170207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1468659270720983,"score_gpt":0.32067308499729,"score_spread":0.1738071579251917,"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."}}