{"id":"W2146130330","doi":"10.1002/joc.3726","title":"Regional frequency analysis and spatial pattern characterization of Dry Spells in Iran","year":2013,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spatial ecology; Homogeneity (statistics); Climatology; Geography; Mediterranean climate; Physical geography; Common spatial pattern; Spatial dependence; Environmental science; Statistics; Mathematics; Geology; 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":[0.0002032824,0.00007442449,0.0002856886,0.0003414089,0.00001074312,0.00001029792,0.0002310725,0.00008316434,0.003623899],"category_scores_gemma":[0.00003307882,0.00006484258,0.0001110056,0.0002043928,0.0001681005,0.0002682395,0.00005911179,0.0001230215,0.0001168344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003674501,"about_ca_system_score_gemma":0.000007432586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750504,"about_ca_topic_score_gemma":0.001388315,"domain_scores_codex":[0.9988718,0.00009567043,0.0005604333,0.0001170356,0.0002475872,0.0001074474],"domain_scores_gemma":[0.9992794,0.0000728254,0.0004830346,0.00007008031,0.00004845075,0.00004619186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002179057,0.00007010384,0.9805178,0.000001491706,0.0002281724,0.00003319501,0.0002042862,0.0001128279,0.01457866,0.00003939432,0.00001620544,0.00417608],"study_design_scores_gemma":[0.0003623542,0.00004184772,0.9928747,0.00000720206,0.00008873845,0.00005473605,0.00001951818,0.004196594,0.0006836458,0.00153224,0.00008198195,0.00005644037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869101,0.00001427652,0.01028962,0.00218406,0.0001248696,0.00003401454,0.000004167186,0.000001892072,0.000436966],"genre_scores_gemma":[0.9991614,0.00009910093,0.0003331167,0.0003191009,0.00004307106,7.438328e-7,0.00001237462,0.000004290654,0.00002680134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389501,"threshold_uncertainty_score":0.9972869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008701779979655346,"score_gpt":0.2437558805398645,"score_spread":0.2350541005602091,"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."}}