{"id":"W3085308359","doi":"10.1016/j.oneear.2020.08.009","title":"Change in Terrestrial Human Footprint Drives Continued Loss of Intact Ecosystems","year":2020,"lang":"en","type":"article","venue":"One Earth","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":334,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Australian Government; National Aeronautics and Space Administration","keywords":"Footprint; Ecosystem; Ecological footprint; Terrestrial ecosystem; Environmental resource management; Environmental science; Ecology; Geography; Biology; Sustainability; Archaeology","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":[0.0001156841,0.00008380344,0.0002145862,0.00001769376,0.00002813773,0.00001632273,0.0001701216,0.00004463982,0.0006275839],"category_scores_gemma":[0.00000659005,0.00007118205,0.00004047037,0.0001214994,0.0000119076,0.000104819,0.0001076796,0.00006726454,0.0002272876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001315192,"about_ca_system_score_gemma":0.00000298796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004273617,"about_ca_topic_score_gemma":0.02046661,"domain_scores_codex":[0.9992093,0.0000503451,0.0002361616,0.0001938666,0.0001467889,0.000163501],"domain_scores_gemma":[0.9996756,0.00001363112,0.00009912598,0.0001307761,0.000001381235,0.00007944828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004428776,0.00008250294,0.9824023,0.00005172259,0.00001263499,0.00001499434,0.002655259,0.00004215841,0.01321294,0.00003301276,0.0000238621,0.001424279],"study_design_scores_gemma":[0.001753532,0.0003433803,0.9748493,0.0001439838,0.00001177097,0.000001769372,0.0001536485,0.002382711,0.01197743,0.00006322122,0.008084591,0.0002345981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973477,0.00002342314,0.000002691624,0.0002986898,0.00008561301,0.0002385405,0.000006134461,0.00001925326,0.001977931],"genre_scores_gemma":[0.9996627,0.00001001302,0.00002756022,0.00007324544,0.000186744,0.00001380275,0.00000706094,0.000007525889,0.00001136432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619299,"threshold_uncertainty_score":0.9974073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446861707703015,"score_gpt":0.2384997149933887,"score_spread":0.2040310979163585,"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."}}