{"id":"W6989459496","doi":"","title":"Biodiversity damaging subsidies in Switzerland – an overview","year":2025,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Biodiversity; Convention on Biological Diversity; Convention; Flood myth; Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007785803,0.0001690885,0.0002004108,0.0001927627,0.0006688216,0.0002085232,0.0002839954,0.00007526652,0.0002343055],"category_scores_gemma":[0.00005106548,0.0001513486,0.00005225294,0.0003882454,0.0003640713,0.0007051255,0.0005198749,0.0001990368,0.00005340525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001327605,"about_ca_system_score_gemma":0.00001987986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004884121,"about_ca_topic_score_gemma":0.03663293,"domain_scores_codex":[0.9984744,0.00008883009,0.0002111221,0.0004570556,0.0003045335,0.000464114],"domain_scores_gemma":[0.9994872,0.00006551258,0.00003639153,0.0002531522,0.00001315285,0.0001445449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002486611,0.0002898645,0.8994499,0.0002150448,0.00003981226,0.00004518901,0.0004415978,0.0008820601,0.0002180293,0.01590561,0.0677522,0.01451202],"study_design_scores_gemma":[0.001946729,0.0001882207,0.5384802,0.0001265661,0.00001644581,0.000003583201,0.0008804668,0.004159442,0.0001376687,0.007134037,0.4466074,0.0003192032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804176,0.001046316,0.000295049,0.004846928,0.0001207333,0.000841113,0.00004462035,0.0000503328,0.01233732],"genre_scores_gemma":[0.994319,0.00156317,0.0003524436,0.001152208,0.00002218497,0.00005830737,0.0002306476,0.000009390872,0.002292691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3788552,"threshold_uncertainty_score":0.980946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0898581031858967,"score_gpt":0.354499016601618,"score_spread":0.2646409134157213,"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."}}