{"id":"W4390696637","doi":"10.1038/s41467-023-43832-9","title":"Mapping the planet’s critical areas for biodiversity and nature’s contributions to people","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Nature Conservancy of Canada","funders":"Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Biodiversity; Sustainable development; Environmental resource management; Natural resource economics; Agriculture; Climate change; Environmental planning; Global biodiversity; Ecosystem; Ecosystem services; Business; Geography; Environmental protection; Ecology; Environmental science; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006998982,0.0002353386,0.000135355,0.004262521,0.0005100957,0.001451832,0.000237119,0.0002963648,0.006136481],"category_scores_gemma":[0.006129651,0.0001134006,0.000245461,0.004687565,0.0005502053,0.001550073,0.001313413,0.000305346,0.0006125023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645203,"about_ca_system_score_gemma":0.0004775497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009500356,"about_ca_topic_score_gemma":0.01243868,"domain_scores_codex":[0.9994773,0.0001645657,0.00002434334,0.00009167625,0.000153695,0.00008842303],"domain_scores_gemma":[0.9972045,0.001184665,0.00083311,0.0001474183,0.0004018998,0.0002283597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103981,0.0000353447,0.9234971,0.0001212357,0.0001039213,0.0001663722,0.001826081,0.006145193,0.002203291,0.009685828,0.002057446,0.05404786],"study_design_scores_gemma":[0.000007471303,0.00005977,0.9687623,0.00004020157,0.0000355026,0.0003320212,0.007897763,0.00587215,0.0006582822,0.007931639,0.008388528,0.00001446773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715533,0.0002460932,0.001521415,0.0003103102,0.000006288982,0.00001115756,0.001565009,0.00002716168,0.02475926],"genre_scores_gemma":[0.9981724,0.00009108001,0.0009537578,0.000009100616,0.000003542704,0.000007429917,0.0004546741,0.000004497988,0.0003035633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009500356,"threshold_uncertainty_score":0.02052855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991730282833053,"score_gpt":0.274479201158512,"score_spread":0.2545618983301814,"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."}}