{"id":"W2387323020","doi":"","title":"Comparative Analysis on Four Distribution Simulating Quarter Rainfall——Example for Yibin City","year":2013,"lang":"en","type":"article","venue":"Journal of Chengdu University of Information Technology","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Distribution fitting; Gamma distribution; Goodness of fit; Mathematics; Quarter (Canadian coin); Precipitation; Empirical distribution function; Logarithmic distribution; Anderson–Darling test; Inverse-chi-squared distribution; Statistics; Probability distribution; Kolmogorov–Smirnov test; Meteorology; Statistical hypothesis testing; Geography; Mathematical analysis; Negative binomial distribution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001596131,0.00006336669,0.0001784886,0.0001090081,0.0001309781,0.00001126767,0.0002234592,0.00006812741,0.0004777295],"category_scores_gemma":[0.00002470211,0.00004727772,0.0001071945,0.0004550641,0.0001748722,0.00105698,0.00005543239,0.00009471644,0.00003868517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352025,"about_ca_system_score_gemma":0.000004006065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509752,"about_ca_topic_score_gemma":0.0000282662,"domain_scores_codex":[0.99941,0.00001381064,0.0002263676,0.00005568468,0.0001878134,0.0001062923],"domain_scores_gemma":[0.9992849,0.00005694935,0.0005142177,0.00005985345,0.00004303948,0.00004102611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004644809,0.0007501551,0.4651003,0.00006398124,0.001203186,0.000004915082,0.01724962,0.3513058,0.03468951,0.005608395,0.03451086,0.08904887],"study_design_scores_gemma":[0.001968288,0.001513961,0.8874708,0.00003574196,0.0002653644,0.00001434439,0.02827726,0.03518472,0.01564792,0.004482449,0.02475523,0.0003839396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978838,0.000001692569,0.01909908,0.001035067,0.00001816664,0.0001267102,0.00001136121,0.00000954432,0.0008604163],"genre_scores_gemma":[0.9972258,0.000004209015,0.002675757,0.00003249388,0.000004795254,1.589879e-7,0.00001287604,3.82191e-7,0.00004348471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223705,"threshold_uncertainty_score":0.5230803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051944059011121,"score_gpt":0.1905963636462911,"score_spread":0.1800769230561799,"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."}}