{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002364433,0.000115705,0.0001529321,0.000019185,0.0001002497,0.000006577481,0.0001996474,0.00005181072,0.001067094],"category_scores_gemma":[0.00001153767,0.00005651792,0.00008471237,0.0001685371,0.0003262746,0.0002419649,0.0001893049,0.00004279107,0.0001299644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008801754,"about_ca_system_score_gemma":4.832165e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002820813,"about_ca_topic_score_gemma":0.0001030188,"domain_scores_codex":[0.9988019,0.00002870405,0.0002924224,0.0002304849,0.0003961845,0.0002502578],"domain_scores_gemma":[0.9996316,0.00004019356,0.0001288578,0.000112022,0.000006223443,0.00008106863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005418613,0.00007880516,0.01779093,0.000008325324,0.000006398076,0.000003357663,0.003041707,0.0008724116,0.9743818,0.000006145764,0.0006421756,0.003113764],"study_design_scores_gemma":[0.0001839117,0.00007643905,0.3771066,0.00001148028,0.00000974155,0.000009338448,0.00121187,0.000009070939,0.620252,0.00004572447,0.0009815905,0.0001022435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927083,0.00002983848,0.00006188647,0.0001949849,0.00006506581,0.0001325592,0.000002044868,0.00001589064,0.006789463],"genre_scores_gemma":[0.9962472,0.00002948203,0.0009514542,0.00002818551,0.00002459042,0.000004083641,0.00001221158,0.000003279737,0.002699541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3593157,"threshold_uncertainty_score":0.999846,"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."}}