{"id":"W4389793400","doi":"10.3390/land12122166","title":"Challenges to Implementing the Kunming-Montreal Global Biodiversity Framework","year":2023,"lang":"en","type":"article","venue":"Land","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Convention on Biological Diversity; Biodiversity; Environmental resource management; Environmental planning; Corporate governance; Citizen journalism; Biodiversity conservation; Sustainability; Indigenous; Sustainable development; Business; Political science; Geography; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002394147,0.00006539511,0.00005335904,0.00001409792,0.0004215542,0.0000354379,0.0002415476,0.00002701721,0.0003830634],"category_scores_gemma":[0.00001990952,0.00004633055,0.00003202237,0.000267247,0.00004267112,0.00003177233,0.0007899088,0.00004093207,0.002405755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443309,"about_ca_system_score_gemma":0.000001715367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004191088,"about_ca_topic_score_gemma":0.01259665,"domain_scores_codex":[0.9992937,0.00002507748,0.0000581341,0.0001907452,0.0001970825,0.000235287],"domain_scores_gemma":[0.9997128,0.00003130632,0.00002337513,0.0001739055,0.000003405592,0.00005522877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005243532,0.000008502255,0.9760185,0.000003130031,0.00001113056,0.000006537549,0.001279025,0.00007816546,0.000002065947,0.000007916475,0.006086625,0.01649308],"study_design_scores_gemma":[0.00007800401,0.00001197864,0.8344984,0.000002801904,0.00001098206,3.478026e-7,0.001049693,0.00004004935,0.000002034156,0.0002088213,0.1640399,0.00005699685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973843,0.00002897135,0.0000397427,0.01056809,0.00009957818,0.0001471761,0.0000310237,0.00007439286,0.01516802],"genre_scores_gemma":[0.9979835,0.00009606247,0.0001525781,0.001138174,0.00005531399,0.000003924212,0.00001390977,0.000001636003,0.0005548911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579533,"threshold_uncertainty_score":0.998371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918806815986223,"score_gpt":0.2417162956034879,"score_spread":0.2125282274436257,"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."}}