{"id":"W4392714008","doi":"10.1016/j.xinn.2024.100610","title":"Deforestation in Latin America in the 2000s predominantly occurred outside of typical mature forests","year":2024,"lang":"en","type":"article","venue":"The Innovation","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Natural Environment Research Council; Sight Research UK","keywords":"Carbon stock; Deforestation (computer science); Environmental science; Stock (firearms); Forestry; Lidar; Radar; Agroforestry; Biomass (ecology); Reducing emissions from deforestation and forest degradation; Geography; Atmospheric sciences; Remote sensing; Climate change; Ecology; Geology; 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":[0.0002232377,0.0003067729,0.0002214031,0.0007253088,0.0003119798,0.0004838624,0.0002125164,0.0001414029,0.001005023],"category_scores_gemma":[0.0004608536,0.00008063201,0.0002083061,0.001300447,0.0003489815,0.0005727578,0.0004219337,0.0001835495,0.0001274519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912947,"about_ca_system_score_gemma":0.0002926217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208699,"about_ca_topic_score_gemma":0.04063526,"domain_scores_codex":[0.9999211,0.0000101343,0.000008385507,0.0000287235,0.00001345654,0.00001820507],"domain_scores_gemma":[0.9997259,0.00003777813,0.0001324493,0.00002884685,0.00005420263,0.00002087282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000139265,0.00003055155,0.9244735,0.0002399342,0.0001200093,0.0004677264,0.001614532,0.0008466661,0.01139692,0.0005438061,0.0006481534,0.05947907],"study_design_scores_gemma":[0.000002316679,0.00001080827,0.9951012,0.0000356453,0.00001829191,0.0001667145,0.0005501166,0.0002250243,0.0004522492,0.0001465257,0.003286717,0.000004492178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900003,0.00306798,0.0007064515,0.0001576076,0.00001185427,0.00001021338,0.001289657,0.00004507558,0.004710872],"genre_scores_gemma":[0.9956728,0.001794583,0.0006293721,0.00004934689,0.00001326173,0.000009748509,0.001329207,0.000009231631,0.000492503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208699,"threshold_uncertainty_score":0.04391682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342962112601862,"score_gpt":0.2684123940226872,"score_spread":0.2549827728966685,"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."}}