{"id":"W2796350662","doi":"10.1016/j.scitotenv.2018.03.290","title":"Impact of anthropogenic climate change and human activities on environment and ecosystem services in arid regions","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Panthera","keywords":"Climate change; Environmental science; Greenhouse gas; Arid; Ecosystem; Land use, land-use change and forestry; Precipitation; Ecosystem services; Land use; Physical geography; Biodiversity; Vegetation (pathology); Climatology; Geography; Ecology; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006066775,0.0001611197,0.0001969354,0.00004558401,0.000427198,0.00002349161,0.0004588467,0.00003530657,0.0002411867],"category_scores_gemma":[0.000001838277,0.00008292638,0.0000579536,0.0001459641,0.001057243,0.0002962649,0.0008834215,0.00007319955,0.00003273183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783573,"about_ca_system_score_gemma":0.000004955567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142252,"about_ca_topic_score_gemma":0.0002182533,"domain_scores_codex":[0.9985982,0.00007271335,0.0002382797,0.0003286651,0.0004360786,0.0003260721],"domain_scores_gemma":[0.9991384,0.00003621616,0.0002204299,0.0005326361,0.000001274461,0.00007103862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003408655,0.001312506,0.4894219,0.0004185514,0.0001370249,0.000005557293,0.02609431,0.0274661,0.4481724,0.001470131,0.0000222328,0.005138452],"study_design_scores_gemma":[0.0002728715,0.000565312,0.9837077,0.0001059433,0.00002435216,0.0000152637,0.0006334365,0.002908247,0.01134137,0.000267236,0.0000175714,0.0001406826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987692,0.00006394762,4.249384e-7,0.000193292,0.00004793222,0.0003656914,0.00002474475,0.000004527323,0.0005302645],"genre_scores_gemma":[0.9996381,0.0002671449,0.00001344177,0.00001193417,0.00002793129,0.00001751524,4.406031e-7,0.00000802059,0.00001549455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4942859,"threshold_uncertainty_score":0.3895456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636927951776125,"score_gpt":0.2360627796011432,"score_spread":0.219693500083382,"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."}}