{"id":"W2991690121","doi":"10.1139/er-2019-0045","title":"Generated land systems: recognition and prospects of land system science","year":2019,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Adaptability; Environmental resource management; Land use; Land management; Earth system science; Land degradation; Computer science; Land information system; Psychological resilience; Systems science; Environmental planning; Environmental science; Ecology; Civil engineering; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004349657,0.0005273633,0.0009699709,0.002549029,0.0009599545,0.004064544,0.001308298,0.0026009,0.002022831],"category_scores_gemma":[0.003452593,0.0002273971,0.000574747,0.003261731,0.0116762,0.009678362,0.002350601,0.003803878,0.0003131844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994495,"about_ca_system_score_gemma":0.002705446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363395,"about_ca_topic_score_gemma":0.002208213,"domain_scores_codex":[0.9982851,0.0008257597,0.00007266155,0.000281143,0.000418731,0.000116497],"domain_scores_gemma":[0.996245,0.002655562,0.0001794224,0.000241309,0.0005330726,0.0001455926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001484683,0.00004301533,0.001084667,0.001590504,0.00003250723,0.0001489284,0.000950901,0.003287709,0.0004839447,0.8645133,0.006227259,0.1216224],"study_design_scores_gemma":[0.000008446676,0.00008721699,0.002184313,0.0008382534,0.0000142081,0.0002716329,0.001513056,0.003954483,0.0003253187,0.7057056,0.2850588,0.00003877176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009906077,0.8445366,0.03526772,0.07651902,0.003044367,0.00003827482,0.00006639332,0.00006007319,0.03056155],"genre_scores_gemma":[0.2149964,0.7510117,0.01747167,0.005726399,0.006855563,0.00006504187,0.00008917802,0.00003515083,0.003748859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004349657,"threshold_uncertainty_score":0.02300352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568507553319352,"score_gpt":0.2031469081406528,"score_spread":0.1874618326074593,"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."}}