{"id":"W2014736868","doi":"10.1080/02508060.2010.507973","title":"Semi-quantitative method for assessing “mainstreaming” of the regulatory framework in wetlands biodiversity conservation","year":2010,"lang":"en","type":"article","venue":"Water International","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Ministry of Water Resources; United Nations Development Programme","keywords":"Mainstreaming; Wetland; Environmental planning; Biodiversity; Environmental resource management; Sustainable development; China; Political science; Business; Public administration; Geography; Environmental science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590655,0.00006055006,0.00005898614,0.00003306828,0.00006468158,0.00001977551,0.0002180106,0.00004646179,0.0006808324],"category_scores_gemma":[0.000053161,0.00004210926,0.00004234853,0.00005378475,0.0001145921,0.0001918484,0.000189313,0.0001006105,0.00002158759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007210681,"about_ca_system_score_gemma":0.000003612468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588238,"about_ca_topic_score_gemma":0.0005639945,"domain_scores_codex":[0.9993805,0.00003262491,0.0001486941,0.0001473237,0.000203107,0.00008772725],"domain_scores_gemma":[0.9997053,0.00007468236,0.00007282128,0.0001219509,0.000009047396,0.00001623725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002457208,0.00008029379,0.8863645,0.000006632159,0.00001796465,5.391375e-7,0.0007178822,0.000631109,0.1025191,0.005758084,0.002704671,0.0011747],"study_design_scores_gemma":[0.0003870541,0.00001208337,0.89099,0.00001716772,0.000008727595,9.667548e-7,0.0002391352,0.006732248,0.05539586,0.004529682,0.0415948,0.00009230591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678737,3.957189e-7,0.02293171,0.006438719,0.0004188651,0.0001760355,0.00001470273,0.000007512655,0.002138373],"genre_scores_gemma":[0.9530287,8.456634e-7,0.04464025,0.001787691,0.00001197494,0.00001308879,0.00003032702,0.000003325074,0.0004837975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04712322,"threshold_uncertainty_score":0.7454637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799354562216209,"score_gpt":0.2821768691603853,"score_spread":0.2641833235382232,"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."}}