{"id":"W2369689747","doi":"","title":"Research on Dunhuang Oasis Agriculture Development","year":2006,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Countermeasure; Agriculture; Principal component analysis; Agricultural engineering; Agricultural development; Environmental science; Computer science; Geography; Engineering; Archaeology; Artificial intelligence","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":[0.0002517605,0.0002549333,0.0001044613,0.001612391,0.0007280958,0.0008273516,0.0001757265,0.0001143833,0.002371173],"category_scores_gemma":[0.0003856226,0.00008129513,0.0001249217,0.003568464,0.0003354203,0.0005242155,0.0002437517,0.0001941998,0.00009189245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348328,"about_ca_system_score_gemma":0.002593483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1036416,"about_ca_topic_score_gemma":0.2235326,"domain_scores_codex":[0.9998683,0.00002326682,0.000008708716,0.0000236066,0.00003616098,0.00004001149],"domain_scores_gemma":[0.9998149,0.0000333994,0.00004193029,0.000007164585,0.00007567783,0.00002683924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112179,0.0001127091,0.5511532,0.001749238,0.0001218818,0.00449796,0.01450967,0.001206601,0.02663039,0.03533813,0.004551267,0.3600167],"study_design_scores_gemma":[0.00000651004,0.00009334479,0.9109486,0.0001350716,0.00004681547,0.0005403549,0.01650181,0.0004853036,0.002287844,0.001034656,0.06790549,0.00001422672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947157,0.01475059,0.0005615174,0.001963713,0.0000932734,0.00002712165,0.0003385823,0.00001525111,0.03509285],"genre_scores_gemma":[0.978304,0.01398893,0.0006454756,0.0001079445,0.00003529419,0.000006936574,0.0002698866,0.000001492656,0.006639875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036416,"threshold_uncertainty_score":0.2060766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394274927227975,"score_gpt":0.2687322873602334,"score_spread":0.2293047946374359,"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."}}