{"id":"W1815391834","doi":"10.1016/j.ancene.2015.09.004","title":"Land system science and sustainable development of the earth system: A global land project perspective","year":2015,"lang":"en","type":"article","venue":"Anthropocene","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":597,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Commission; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Earth system science; Environmental resource management; Land management; Land use; Environmental planning; Sustainable land management; Sustainable development; Stakeholder; Systems science; Geography; Environmental science; Ecology; Political science; Computer science; Engineering; Civil engineering","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":[0.001142735,0.0001490669,0.0002334999,0.00003766664,0.000595803,0.00007910402,0.0003405717,0.00004339724,0.0000097616],"category_scores_gemma":[0.0001356751,0.00008149344,0.00003496065,0.001748719,0.0007450657,0.0003090494,0.0006003605,0.00005325363,0.00002006362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868054,"about_ca_system_score_gemma":0.0004173223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03572552,"about_ca_topic_score_gemma":0.0009618612,"domain_scores_codex":[0.99794,0.00008957394,0.0002472967,0.0003832257,0.0008770582,0.0004628616],"domain_scores_gemma":[0.9991084,0.00001215807,0.0001629346,0.000259282,0.0003289156,0.0001283172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004176955,0.00009612554,0.983195,0.0004258731,0.00008487359,0.0000668569,0.005933883,0.0003961716,0.0003909603,0.007569292,0.001134034,0.0006651581],"study_design_scores_gemma":[0.0009908489,0.0001341356,0.4956692,0.0001926085,0.0001098581,0.0002540939,0.4934104,0.001655989,0.003736049,0.00005488527,0.003341653,0.0004502603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760016,0.0002345631,0.00006235824,0.0001219174,0.00008402474,0.0005487518,0.000003751861,0.00004198457,0.02290108],"genre_scores_gemma":[0.9991308,0.000002075953,0.0003384906,0.000007546437,0.00002413018,0.00002031504,5.400141e-7,0.000005105243,0.0004710269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4875258,"threshold_uncertainty_score":0.9706957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002871474163719,"score_gpt":0.2412436977506615,"score_spread":0.2312149830090243,"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."}}