{"id":"W1499280829","doi":"10.1023/a:1006423432114","title":"Monitoring Long-Term Ecological Changes Through the Ecological Monitoring and Assessment Network: Science-Based and Policy Relevant","year":2001,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ecosystem services; Warning system; Environmental resource management; Environmental monitoring; Business; Goods and services; Adaptive management; Ecosystem; Environmental planning; Geography; Environmental science; Ecology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009894036,0.0003206857,0.0003262037,0.00009722083,0.001935207,0.0002367516,0.0003028361,0.0001902916,0.0001175712],"category_scores_gemma":[0.0000283449,0.0002198704,0.00003927789,0.0002190516,0.00151469,0.0002689375,0.0002384878,0.0007609137,0.000009772098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004747117,"about_ca_system_score_gemma":0.00009768517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109356,"about_ca_topic_score_gemma":0.00003516178,"domain_scores_codex":[0.9972409,0.0002706062,0.0002703794,0.0007106031,0.0005112247,0.0009962837],"domain_scores_gemma":[0.9986908,0.0006312476,0.0001122768,0.0002596066,0.00001059204,0.0002955224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002445025,0.00007884159,0.9777538,0.00001468263,0.00002609806,0.0001020716,0.00009812574,0.0003148694,0.0002170259,0.00003895924,0.000001544933,0.02132958],"study_design_scores_gemma":[0.000509299,0.0005263812,0.9965975,0.00005918247,0.00003051122,0.0001406078,0.0006068979,0.0004945171,0.0002920931,0.0002625213,0.0002368581,0.0002436452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925817,0.002913551,0.00002364398,0.002151782,0.0007848355,0.0003560605,0.000006610517,0.00004540003,0.0011364],"genre_scores_gemma":[0.9851326,0.01077981,0.002924934,0.00004360149,0.0009781637,0.00003274589,0.000008274512,0.000007501476,0.00009241491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02108594,"threshold_uncertainty_score":0.9993641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158702907744604,"score_gpt":0.3253428496582918,"score_spread":0.2837558205808458,"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."}}