{"id":"W2016394465","doi":"10.1016/j.ecoser.2014.08.008","title":"Recasting payments for ecosystem services (PES) in water resource management: A novel institutional approach","year":2014,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ecosystem services; Business; Corporate governance; Payment; Watershed management; Goods and services; Watershed; Environmental resource management; Ecosystem management; Payment for ecosystem services; Common-pool resource; Nexus (standard); Environmental economics; Economics; Ecosystem; Ecology; Computer science; Microeconomics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001156026,0.0002888902,0.0002952455,0.0002129255,0.0005489027,0.0001642056,0.0007556974,0.0001077446,0.000137282],"category_scores_gemma":[0.000002234652,0.0002317936,0.00009733388,0.0003429056,0.00002311166,0.0003522163,0.0007621453,0.00008701346,0.0003802352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756673,"about_ca_system_score_gemma":0.000003137324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004742293,"about_ca_topic_score_gemma":0.00432033,"domain_scores_codex":[0.9976256,0.0001068528,0.000511762,0.0007245985,0.0004881777,0.0005429332],"domain_scores_gemma":[0.9992206,0.00004541219,0.0001927615,0.0004108229,0.00001860783,0.0001117909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000283809,0.001031956,0.87974,0.01755061,0.0003433662,0.00001993184,0.01057492,0.07817351,0.001013624,0.0009702059,0.000301308,0.009996776],"study_design_scores_gemma":[0.002689903,0.00006602264,0.09280502,0.000581453,0.00008971871,0.00001240627,0.004603251,0.2308145,0.0001587303,0.00009174661,0.6674672,0.0006199702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518031,0.00002806694,0.001583176,0.00029348,0.0002202106,0.001272779,0.0000566263,0.0001068964,0.04463565],"genre_scores_gemma":[0.9955786,0.000005085421,0.00247258,0.0005233055,0.0001219207,0.0001619452,0.0002218599,0.00002163417,0.0008930931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.786935,"threshold_uncertainty_score":0.9452268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009963836997966142,"score_gpt":0.1804120735416817,"score_spread":0.1704482365437155,"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."}}