{"id":"W2362163233","doi":"","title":"Estimating Status and Potential Degree of Desertification in Gan su Province Based on RS and GIS","year":2003,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Desertification; Arid; China; Physical geography; Field survey; Geography; Environmental science; Scale (ratio); Remote sensing; Cartography; Geology; Ecology","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":[0.0001580982,0.00004860697,0.00006658382,0.00005021223,0.00003765241,0.00002827265,0.00001708303,0.00002473848,0.00004727284],"category_scores_gemma":[0.00007358945,0.00003509954,0.000006415066,0.00006131883,0.00003252528,0.00005046036,7.657342e-7,0.0000404722,0.000001847268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001234081,"about_ca_system_score_gemma":0.0000305912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893632,"about_ca_topic_score_gemma":0.003188491,"domain_scores_codex":[0.9995469,0.0000480017,0.00009979505,0.0001177508,0.00007804589,0.0001095041],"domain_scores_gemma":[0.9997893,0.00005441639,0.00003113304,0.00006670252,0.00001017036,0.00004829076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004449134,0.00001592619,0.7016959,0.00003120229,0.000001943961,0.000005527892,0.0001172285,0.02080615,0.0002342954,0.00003515228,0.00001361324,0.2769986],"study_design_scores_gemma":[0.0001648387,0.00006133065,0.5559398,0.00001471615,0.000002190646,0.00000209781,0.00004315551,0.4432356,0.0003768858,0.00008673192,0.00003259477,0.00004004768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917175,0.00003956459,0.0008016758,0.0000573978,0.00003465303,0.00006451129,0.000003054424,0.000008261356,0.007273443],"genre_scores_gemma":[0.9879301,0.000005809228,0.01196474,0.0000335319,0.000004639905,2.33692e-8,0.00001032387,0.000001123028,0.00004967014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4224295,"threshold_uncertainty_score":0.4374326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098526847374134,"score_gpt":0.2142771745075323,"score_spread":0.1932919060337909,"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."}}