{"id":"W4409017390","doi":"10.1016/j.ecoser.2025.101720","title":"Payments for ecosystem services in Mexico: Two decades of progress and challenges between research and practice","year":2025,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec en Outaouais","funders":"Agencia Estatal de Investigación; Vlaamse regering; Ministerio de Ciencia e Innovación; Fonds Wetenschappelijk Onderzoek","keywords":"Ecosystem services; Payment; Ecosystem; Environmental resource management; Natural resource economics; Business; Regional science; Geography; Economics; Ecology; Biology; 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":[0.002091159,0.0001472277,0.000274504,0.0001994582,0.0002435578,0.00009809371,0.000369567,0.00008252828,0.00001281745],"category_scores_gemma":[0.00001372363,0.0001301685,0.00002361918,0.0003380143,0.00006258348,0.0003451179,0.0007316347,0.00007962313,0.00001069908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351364,"about_ca_system_score_gemma":0.000008731635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000980395,"about_ca_topic_score_gemma":0.02211061,"domain_scores_codex":[0.9982532,0.0002897602,0.0003425906,0.0004681897,0.0003537022,0.0002925086],"domain_scores_gemma":[0.998858,0.000581989,0.0001817647,0.0002474243,0.00006120858,0.00006966665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006934266,0.00008851009,0.9848166,0.005498677,0.00007452918,0.000002289321,0.002859075,0.00001313602,0.00003014401,0.0001173367,0.00001458013,0.006415794],"study_design_scores_gemma":[0.001287383,0.0001569886,0.8840832,0.001005692,0.00006936149,0.000002266114,0.02534609,0.001710205,0.0002928363,0.0003875015,0.08547688,0.000181659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876562,0.00457746,0.000003698698,0.00380023,0.00006131903,0.001118978,0.00005381261,0.00002292425,0.002705427],"genre_scores_gemma":[0.9983941,0.0009144098,0.0004034614,0.00006376194,0.00002523042,0.00007898593,0.0000111,0.000007585639,0.0001013928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007335,"threshold_uncertainty_score":0.9957333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0538359603132101,"score_gpt":0.3282187419273593,"score_spread":0.2743827816141492,"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."}}