{"id":"W2390515989","doi":"","title":"A water supply function in form of Weibull distribution","year":2003,"lang":"en","type":"article","venue":"Xibei zhiwu xuebao","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Weibull distribution; Kurtosis; Water supply; Range (aeronautics); Function (biology); Skew; Mathematics; Shape parameter; Statistics; Environmental science; Computer science; Environmental engineering; Engineering","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":[0.0009971685,0.0008674358,0.0005324772,0.001365304,0.0005260334,0.001208913,0.001011662,0.001201425,0.005239945],"category_scores_gemma":[0.002958007,0.0002819561,0.0008047792,0.002030585,0.0006742734,0.00200985,0.0005827942,0.001067845,0.002428653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884206,"about_ca_system_score_gemma":0.000533299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660347,"about_ca_topic_score_gemma":0.001539865,"domain_scores_codex":[0.9992943,0.0001356267,0.00004394984,0.0001805255,0.0002569861,0.00008857579],"domain_scores_gemma":[0.9990589,0.0003507268,0.0001547542,0.00008841316,0.0003193352,0.00002792453],"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":[0.0001858277,0.00006795417,0.01070359,0.0004704254,0.0001296569,0.001162306,0.0005843277,0.6104895,0.01839267,0.167403,0.01202488,0.1783859],"study_design_scores_gemma":[0.0000214177,0.0001568896,0.005858534,0.00007673392,0.00007049207,0.001554846,0.0001851277,0.876004,0.003838352,0.07881454,0.03329929,0.0001198347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151866,0.000976529,0.9632391,0.0005008824,0.0001669883,0.00008375368,0.0006778173,0.0007968992,0.01203928],"genre_scores_gemma":[0.8086158,0.004449293,0.13452,0.000507416,0.0004447403,0.0005733859,0.002092025,0.0003410743,0.04845618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005239945,"threshold_uncertainty_score":0.01752931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004113042377529453,"score_gpt":0.1820097172033475,"score_spread":0.177896674825818,"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."}}