{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004635208,0.0001320055,0.0001286041,0.0001343864,0.0004297965,0.0001188808,0.0001683774,0.0001065031,0.0004471354],"category_scores_gemma":[0.00001952537,0.00008522961,0.00004221167,0.0004268741,0.00005090862,0.00008061415,0.000009861981,0.0002842723,0.00221737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009552559,"about_ca_system_score_gemma":0.00005760962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006696,"about_ca_topic_score_gemma":0.01263998,"domain_scores_codex":[0.9984733,0.0001101807,0.0001726039,0.0002996924,0.0004880444,0.0004561254],"domain_scores_gemma":[0.9994294,0.0001623994,0.00003077459,0.0001949827,0.0000777461,0.0001047029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001376541,0.0001906798,0.1903989,0.00004588761,0.0000541959,0.0003935251,0.0006958152,0.00801163,0.0003191166,0.0004907312,0.2476411,0.5516207],"study_design_scores_gemma":[0.0001803394,0.00008656148,0.7109882,0.00003744806,0.000003320702,0.00001670564,0.0001814059,0.0003925274,0.002451386,0.0002254133,0.2852539,0.0001828396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8084697,0.0001796087,0.0000117909,0.0004090139,0.0002206091,0.00009481004,0.000007620964,0.00005833664,0.1905485],"genre_scores_gemma":[0.9891834,0.00001732613,0.0008612886,0.0002038686,0.0004356795,2.858368e-7,0.0001593871,0.000004176971,0.00913454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5514379,"threshold_uncertainty_score":0.9999185,"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."}}