{"id":"W2359158907","doi":"","title":"Analysis water resources deployment in Urumqi City based on WRMM","year":2007,"lang":"en","type":"article","venue":"Journal of Water Resources and Water Engineering","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Water resources; Resource (disambiguation); Water resource management; Natural resource; Environmental science; Environmental resource management; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005518566,0.000524181,0.000565138,0.0006417172,0.000491712,0.0004936706,0.0008431536,0.0006759347,0.00175685],"category_scores_gemma":[0.00109552,0.0003771776,0.0005706128,0.001198712,0.0003084992,0.0005653263,0.0005156197,0.0004300477,0.0001265836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173,"about_ca_system_score_gemma":0.001074073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1718052,"about_ca_topic_score_gemma":0.1561225,"domain_scores_codex":[0.999749,0.00007418167,0.000008855978,0.00003747836,0.00004321799,0.00008728734],"domain_scores_gemma":[0.9997293,0.0001018135,0.00003670866,0.00001987136,0.00008040898,0.00003184794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005267062,0.00003534442,0.008480592,0.00003746522,0.00002473765,0.0002856703,0.0000424055,0.9849935,0.001033988,0.001159066,0.0005770083,0.003277669],"study_design_scores_gemma":[0.000005925893,0.00001302723,0.003405824,0.000001874943,0.000005380828,0.000008142681,0.00008563756,0.9959071,0.0002664189,0.0001374455,0.0001591848,0.000004049194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856937,0.00006402712,0.009203713,0.0002368013,0.00001481432,0.00003015289,0.0004214639,0.000144316,0.004190983],"genre_scores_gemma":[0.9922056,0.00005129059,0.006442328,0.00001725816,0.00000306668,0.00002384988,0.000410427,0.00001759083,0.000828548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1718052,"threshold_uncertainty_score":0.3416104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009365873339144846,"score_gpt":0.2347187619171362,"score_spread":0.2253528885779914,"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."}}