{"id":"W4384930592","doi":"10.1002/ppp3.10405","title":"Towards a co‐crediting system for carbon and biodiversity","year":2023,"lang":"en","type":"article","venue":"Plants People Planet","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norway Grants; Natural Environment Research Council; Vetenskapsrådet; Novo Nordisk; Sight Research UK; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Novo Nordisk Fonden; Eesti Teadusfondi; Royal Botanical Gardens, Kew; Stiftelsen för Miljöstrategisk Forskning","keywords":"Biodiversity; Greenhouse gas; Carbon sequestration; Ecosystem services; Global biodiversity; Environmental science; Measurement of biodiversity; Soil carbon; Natural resource economics; Environmental resource management; Ecosystem; Business; Ecology; Biology; Biodiversity conservation; Soil water; Economics; Soil science; Carbon dioxide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01792187,0.0008949694,0.0005858087,0.003310024,0.003122051,0.008149748,0.003809069,0.006175137,0.01114875],"category_scores_gemma":[0.02463178,0.0005546958,0.0006146556,0.00218206,0.005083021,0.01350291,0.01229264,0.00618358,0.002353987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006135117,"about_ca_system_score_gemma":0.01461932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006123179,"about_ca_topic_score_gemma":0.005182633,"domain_scores_codex":[0.9889554,0.003413075,0.0004992494,0.002086645,0.003960683,0.001084844],"domain_scores_gemma":[0.9819694,0.002404231,0.001574661,0.004726673,0.005742105,0.003582828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001413006,0.0004563477,0.007669229,0.0001071217,0.00005368315,0.0001801682,0.0007674207,0.01445142,0.003449975,0.7537624,0.02487839,0.1940826],"study_design_scores_gemma":[0.0001048293,0.0003845727,0.007845428,0.0003405836,0.00004020589,0.0002863027,0.0007115392,0.05245222,0.002657061,0.6181604,0.3168062,0.000210657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08500921,0.001203839,0.5653276,0.05775196,0.001604796,0.001375668,0.0005132119,0.003018233,0.2841955],"genre_scores_gemma":[0.7175147,0.0006730935,0.2136872,0.004495271,0.0007337409,0.001199145,0.0004967569,0.0004080253,0.06079201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01792187,"threshold_uncertainty_score":0.09478104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637312940254441,"score_gpt":0.2002396578756019,"score_spread":0.1738665284730575,"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."}}