{"id":"W4395453957","doi":"10.1111/cobi.14282","title":"Exploring local perceptions and drivers of engagement in biodiversity monitoring among participants in payments for ecosystem services schemes in southeastern Mexico","year":2024,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Ouranos; Vlaamse regering; Mitacs","keywords":"Ecosystem services; Biodiversity; Payment; Geography; Ecosystem; Environmental resource management; Perception; Environmental planning; Ecology; Business; Environmental science; Psychology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004411959,0.00009460806,0.0001404283,0.0002019727,0.00006797633,0.00001688809,0.0001106639,0.00005436644,0.00003981254],"category_scores_gemma":[0.00001197249,0.00009473586,0.0000254572,0.0002596902,0.0001680796,0.0002260695,0.0002157893,0.00007356711,0.00001491021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392289,"about_ca_system_score_gemma":0.000006952538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047361,"about_ca_topic_score_gemma":0.005608167,"domain_scores_codex":[0.9990863,0.0001000074,0.0002504544,0.0002829274,0.00007584749,0.0002044153],"domain_scores_gemma":[0.9997346,0.00008348354,0.00005104174,0.00008746787,0.000008507144,0.00003484616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001792635,0.00003564149,0.9910834,0.0001109243,0.00001060866,0.000002676146,0.005789595,0.000516907,0.000679073,0.0000175611,0.000004029129,0.001731592],"study_design_scores_gemma":[0.0004729076,0.00003098023,0.9716464,0.0001315572,0.00001085222,1.097434e-7,0.01346551,0.01285772,0.0002047261,0.00003635355,0.001053487,0.00008936152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984965,0.00004356677,0.0004743866,0.0004160742,0.0001384251,0.0003621152,0.00002658399,0.00001766438,0.00002470947],"genre_scores_gemma":[0.9996264,0.00009342971,0.000142595,0.00004663725,0.000006961047,0.00004948305,0.0000171134,0.000002788455,0.0000145651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943703,"threshold_uncertainty_score":0.3863216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948634847457327,"score_gpt":0.2689848400358553,"score_spread":0.1741213552901226,"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."}}