{"id":"W2388425332","doi":"","title":"Design and Application of Tarim Desertification Monitoring and Early Warning System","year":2013,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Warning system; Early warning system; Watershed; Desertification; Field (mathematics); Tarim river; Tarim basin; Data collection; Data mining; Geology; Groundwater; Machine learning; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004601786,0.0004326783,0.0006176694,0.0008393112,0.0004730636,0.0009715456,0.001223713,0.0005868314,0.003104352],"category_scores_gemma":[0.000601209,0.0002986749,0.000367881,0.0005280292,0.0002011671,0.0006785518,0.0008516366,0.0002836945,0.0009219056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004176606,"about_ca_system_score_gemma":0.0007951611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360664,"about_ca_topic_score_gemma":0.001808919,"domain_scores_codex":[0.999474,0.00005269138,0.0000420538,0.0001579619,0.0002100674,0.00006331364],"domain_scores_gemma":[0.9997357,0.00001880751,0.00002984008,0.00003026638,0.0001565267,0.00002901294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001263985,0.0005006457,0.03699169,0.0009402644,0.0002005597,0.002705476,0.001303376,0.1063761,0.2431606,0.01554329,0.02384926,0.5671648],"study_design_scores_gemma":[0.0001596075,0.0006109135,0.01494585,0.00005518036,0.0002489332,0.0009169175,0.0003576884,0.863388,0.08143795,0.00173886,0.03601766,0.0001224999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1516421,0.0003510344,0.8105509,0.0004647316,0.000212781,0.0009264756,0.0006332579,0.01516796,0.02005074],"genre_scores_gemma":[0.8114633,0.0002871572,0.177113,0.0001967641,0.00007288421,0.0006512208,0.00105309,0.000133396,0.00902929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00360664,"threshold_uncertainty_score":0.0103851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706473458100295,"score_gpt":0.2414640833892326,"score_spread":0.2243993488082297,"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."}}