{"id":"W2766316242","doi":"10.1038/nature24295","title":"Reductions in global biodiversity loss predicted from conservation spending","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":370,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yukon University; Yukon Department of Environment; Simon Fraser University","funders":"Medical Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Convention on Biological Diversity; Biodiversity; Sustainable development; Natural resource economics; Business; Biodiversity conservation; Environmental resource management; Convention; Economics; Measurement of biodiversity; Environmental planning; Public economics; Geography; Ecology; Political science; Biology","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":[0.0001351058,0.00006337703,0.0001204635,0.00003843301,0.0001958131,0.00006216167,0.0001753061,0.0004027272,0.0005412539],"category_scores_gemma":[0.00007901343,0.00008347492,0.00003534813,0.00003462474,0.00005787563,0.000396731,0.00005914523,0.0003434376,0.0004981072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768318,"about_ca_system_score_gemma":0.000005305437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707171,"about_ca_topic_score_gemma":0.0003156782,"domain_scores_codex":[0.999474,0.000005284251,0.0001708576,0.0002315307,0.00001817924,0.0001001575],"domain_scores_gemma":[0.9995036,0.000008311427,0.0002070835,0.0002483889,0.000003851335,0.00002874271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006611206,0.00002097319,0.9911509,0.000001322009,0.00001149636,0.000001547853,0.0000503005,0.0000249834,0.000006097757,0.006174159,0.002431814,0.0001198664],"study_design_scores_gemma":[0.0004395173,0.000005997682,0.9800589,0.000005295925,0.000003137836,7.71756e-7,0.00004150244,0.0003861374,0.00002855865,0.01485329,0.004093983,0.00008288901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870478,0.0002543181,0.00005384364,0.002671871,0.000730778,0.00008632524,0.001450449,0.00001397748,0.007690647],"genre_scores_gemma":[0.999007,0.00008312921,0.0002620457,0.0002159925,0.00006928742,0.000002404239,0.0002431177,0.00000199901,0.0001150213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01195921,"threshold_uncertainty_score":0.6402327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06610942169022485,"score_gpt":0.2353131824231201,"score_spread":0.1692037607328953,"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."}}