{"id":"W4403547409","doi":"10.1038/s41893-024-01447-y","title":"Involving citizens in monitoring the Kunming–Montreal Global Biodiversity Framework","year":2024,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Danish Agency for Science and Higher Education; University of the Arctic; Nordisk Ministerråd; UK Research and Innovation","keywords":"Biodiversity; Environmental resource management; Geography; Environmental planning; Political science; Environmental science; Ecology; Biology","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":[0.0006443204,0.0001464947,0.000109103,0.00003862313,0.0003735916,0.0001294869,0.0003987004,0.0002430138,0.0001978168],"category_scores_gemma":[0.0003899209,0.0001096784,0.00009509661,0.0008589391,0.0002832079,0.0001468852,0.0007230859,0.0006746787,0.00006200566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149526,"about_ca_system_score_gemma":0.00003943849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004311122,"about_ca_topic_score_gemma":0.000927417,"domain_scores_codex":[0.9985763,0.0001143682,0.0001381576,0.0004542716,0.0003708392,0.0003460895],"domain_scores_gemma":[0.999392,0.0001412261,0.00002745523,0.0003423677,0.00003051228,0.0000664298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001764425,0.00003714907,0.9888942,0.00006171396,0.00001156627,0.00006557848,0.001827013,0.0001930291,0.000001886065,0.0001440818,0.001346522,0.007399641],"study_design_scores_gemma":[0.00008322669,0.00001177276,0.9632867,0.00001952454,0.00002040314,0.000001096158,0.005912555,0.0002028026,0.000008849879,0.01059334,0.01973654,0.0001231957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890349,0.0008495459,0.00005630656,0.006579749,0.0004983906,0.0003799879,0.00002111459,0.0001097741,0.00247025],"genre_scores_gemma":[0.9993439,0.00002837756,0.000120708,0.0002501039,0.00007074152,0.000005034513,0.000004176451,0.000002201052,0.0001747634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560748,"threshold_uncertainty_score":0.6517156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004907303982877419,"score_gpt":0.2416614296815632,"score_spread":0.2367541256986858,"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."}}