{"id":"W2026514357","doi":"10.1007/s11273-008-9078-6","title":"Wetland mitigation and compensation: Canadian experience","year":2008,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Wetland; Waterfowl; Wildlife; Wetland conservation; Habitat; Environmental planning; Government (linguistics); Environmental resource management; Business; Legislature; Environmental protection; Geography; Ecology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002939842,0.000483231,0.0003340696,0.001000481,0.008575896,0.002243527,0.001298397,0.001520983,0.006898453],"category_scores_gemma":[0.004805883,0.0003290811,0.0004099712,0.003470964,0.001902677,0.0007963428,0.001618585,0.001710916,0.0002895951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05972709,"about_ca_system_score_gemma":0.1675777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933482,"about_ca_topic_score_gemma":0.998565,"domain_scores_codex":[0.9973257,0.0003332395,0.00007367899,0.0001692466,0.001258107,0.0008399936],"domain_scores_gemma":[0.9947891,0.0005438482,0.0002268128,0.0001353398,0.002199261,0.002105558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001291111,0.002397759,0.2365031,0.000553594,0.0002120742,0.002523971,0.03441591,0.002580689,0.001413703,0.02086231,0.146289,0.5509567],"study_design_scores_gemma":[0.0002392035,0.0003511449,0.3477797,0.0004384133,0.0001325372,0.001170346,0.03288233,0.0007868766,0.001089597,0.00105049,0.613946,0.0001333641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7738124,0.02115453,0.00121314,0.04934953,0.0006355476,0.0003668531,0.002362575,0.00007333108,0.1510321],"genre_scores_gemma":[0.906057,0.02235481,0.002139181,0.004498497,0.000109603,0.00008343182,0.001017448,0.00006742901,0.06367259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05972709,"threshold_uncertainty_score":0.4333524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045977716350691,"score_gpt":0.1976378274325281,"score_spread":0.1871780502690212,"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."}}