{"id":"W2343444871","doi":"","title":"Assessing Climate Variability using Extreme Rainfall and Temperature Indices","year":2010,"lang":"en","type":"article","venue":"University of Mauritius Research Journal","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extreme weather; Extreme value theory; Climate change; Environmental science; Climatology; Extreme heat; Extreme Cold; Percentile; Climate extremes; Return period; Meteorology; Geography; Statistics; Precipitation; Mathematics; Flood myth; Geology","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":[0.0007572612,0.0002481092,0.0002666891,0.001140415,0.0001922101,0.0007245661,0.0002493473,0.0002770944,0.0008402978],"category_scores_gemma":[0.003030557,0.00008570012,0.0002210074,0.001312668,0.0001901871,0.0006841645,0.0005375464,0.0002893258,0.0001307679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493652,"about_ca_system_score_gemma":0.00031817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005730464,"about_ca_topic_score_gemma":0.007643067,"domain_scores_codex":[0.9997115,0.0001397709,0.00002380463,0.00003319577,0.00006050985,0.00003121096],"domain_scores_gemma":[0.999208,0.0004378932,0.0002024424,0.00003782285,0.00006275123,0.00005103459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342982,0.0001031238,0.8812259,0.00004629795,0.0001715304,0.0001487021,0.0003115823,0.07349745,0.00247582,0.001535123,0.0004336693,0.03991649],"study_design_scores_gemma":[0.000009453101,0.0001970272,0.8326014,0.00002878216,0.00004123704,0.000182836,0.0005551056,0.1603538,0.001543051,0.003175866,0.001278336,0.00003312996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975578,0.0001346449,0.01956997,0.0000725483,0.000005912031,0.00004208427,0.0006788269,0.00008219515,0.003835872],"genre_scores_gemma":[0.9925455,0.0001011391,0.006640201,0.00000719809,0.000007591092,0.000021495,0.0003905365,0.000005022437,0.0002812122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005730464,"threshold_uncertainty_score":0.0113942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076667445980124,"score_gpt":0.3231528016360659,"score_spread":0.2464853556559419,"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."}}