{"id":"W2499973414","doi":"10.1111/gcb.13443","title":"Land management: data availability and process understanding for global change studies","year":2016,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":241,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Einstein Stiftung Berlin; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission; United States - Israel Binational Science Foundation; Seventh Framework Programme; Met Office; Austrian Science Fund; Department for Environment, Food and Rural Affairs, UK Government; European Research Council; National Science Foundation","keywords":"Land management; Environmental resource management; Tillage; Land use; Environmental science; Sustainability; Adaptive management; Agroforestry; Ecology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008420166,0.0005145961,0.001310751,0.00002753438,0.0001579125,0.00003072861,0.0009122205,0.0003659467,0.00005585721],"category_scores_gemma":[0.0001124685,0.0003411007,0.0001042124,0.0002923654,0.0004194375,0.0002614414,0.001833433,0.0000752991,0.0002046626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696588,"about_ca_system_score_gemma":0.00001169137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000265552,"about_ca_topic_score_gemma":0.0009327257,"domain_scores_codex":[0.997178,0.0002442076,0.0004261629,0.001340212,0.0001515919,0.0006598412],"domain_scores_gemma":[0.9985183,0.0001768975,0.0003339447,0.0008329963,0.00001099124,0.0001268934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000165285,0.00003231831,0.01734532,0.01721632,0.0002877399,0.000008948133,0.00004549341,6.457256e-10,7.877487e-9,0.0007429772,0.001694934,0.9626094],"study_design_scores_gemma":[0.0003776387,0.0001705599,0.0004920294,0.003270776,0.0003823529,0.00004473733,0.00006057919,0.00001334695,6.200458e-9,0.002945689,0.9917684,0.0004739318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004597987,0.9868339,0.0001477767,0.000132084,0.001058701,0.004167905,0.006403456,0.00008215258,0.001128018],"genre_scores_gemma":[0.001314307,0.9966401,0.00009303758,0.0001099678,0.0005270343,0.0008222385,0.0004373493,0.00002117857,0.00003480128],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9900734,"threshold_uncertainty_score":0.9999041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3603009014378113,"score_gpt":0.4244810366289715,"score_spread":0.06418013519116017,"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."}}