{"id":"W3133612013","doi":"10.1126/science.abe7821","title":"Deforestation, forestation, and water supply","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Deforestation (computer science); Nexus (standard); Afforestation; Water supply; Natural resource economics; Business; Environmental science; Agroforestry; Water resource management; Economics; Environmental engineering; Computer science","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":[0.0002525984,0.0000430063,0.00003754676,0.00002033332,0.0003690164,0.00003309629,0.00009028459,0.000009920962,0.0005285079],"category_scores_gemma":[0.00003815805,0.00002963652,0.000006430468,0.0001737544,0.0008009149,0.0003369874,0.0002671441,0.00002495316,0.000286588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002009847,"about_ca_system_score_gemma":0.000006181547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972762,"about_ca_topic_score_gemma":0.0001136874,"domain_scores_codex":[0.9993461,0.00001179114,0.00006122757,0.0002247446,0.0001573666,0.0001988138],"domain_scores_gemma":[0.9998303,0.000009886824,0.000009297147,0.00009713133,0.00001205702,0.00004134875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003877658,0.00002452281,0.962011,0.000005635071,0.000004121127,0.00002724513,0.003150809,0.000634056,0.02211914,0.002407127,0.00173508,0.007877344],"study_design_scores_gemma":[0.0001321302,0.00001931646,0.9248863,0.000002058033,0.00000558124,0.00001037089,0.0002307732,0.0005462938,0.03313805,0.02202919,0.0189093,0.00009057007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872661,0.00001831057,0.0006824796,0.002417659,0.00007560696,0.00004435079,5.816593e-7,0.00001625019,0.009478643],"genre_scores_gemma":[0.9962915,0.00002425259,0.00130473,0.0006032493,0.000005380277,0.000005868078,0.000002644817,0.000001751716,0.001760693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03712468,"threshold_uncertainty_score":0.5786791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005560730136777953,"score_gpt":0.2126857324675299,"score_spread":0.2071250023307519,"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."}}