{"id":"W2357708616","doi":"","title":"Optimized exploitation of water resources at agricultural region of arid oasis","year":2007,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Arid; Water resources; Agriculture; China; Environmental resource management; Ecosystem; Water resource management; Business; Environmental science; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000316051,0.0004892321,0.0003540578,0.0003107823,0.0003410231,0.0009181809,0.0004472008,0.0004791659,0.0009343873],"category_scores_gemma":[0.0004286436,0.0002213613,0.000439213,0.0004924369,0.0002741505,0.0005032701,0.0005314359,0.0002567735,0.00004273903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009360437,"about_ca_system_score_gemma":0.00105567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932663,"about_ca_topic_score_gemma":0.02174927,"domain_scores_codex":[0.9998671,0.0000484429,0.000005180757,0.00001850067,0.00001812632,0.00004269782],"domain_scores_gemma":[0.999927,0.00003109139,0.00001323897,0.000002945759,0.00001292997,0.00001276571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002658343,0.00003480547,0.002458168,0.00004855746,0.00003180606,0.0001934789,0.00003891156,0.9860004,0.001768004,0.002916046,0.0002515766,0.00623176],"study_design_scores_gemma":[0.00001573197,0.00004839138,0.001512088,0.000005850207,0.00001367193,0.00001979827,0.0001281665,0.9959977,0.0004893246,0.001411937,0.0003524292,0.000004896393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8664168,0.0004566206,0.1196869,0.0004905089,0.0000327901,0.0001223291,0.0002117857,0.00007332957,0.01250907],"genre_scores_gemma":[0.9906307,0.000152421,0.007319881,0.00001678837,0.000005166526,0.0000465308,0.00004869388,0.000008417187,0.001771327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932663,"threshold_uncertainty_score":0.03842825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943264852248659,"score_gpt":0.1877364475431422,"score_spread":0.1783037990206556,"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."}}