{"id":"W4383554923","doi":"10.9734/ijecc/2023/v13i92275","title":"Assessment of Diurnal Variability and Region-Specific Connection across Intensity, Depth &amp; Duration of Rainfall","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Environmental science; Duration (music); Period (music); Climatology; Quarter (Canadian coin); Intensity (physics); Arid; Interval (graph theory); Physical geography; Hydrology (agriculture); Meteorology; Geography; Geology; Mathematics","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":[0.0009702969,0.00008868623,0.0002081161,0.00007682479,0.0000602906,0.00001458121,0.0001215551,0.00006235177,0.0003094371],"category_scores_gemma":[0.00002859547,0.00007588984,0.00007585537,0.00008086786,0.0002561842,0.000270141,0.0002157059,0.0001096283,0.00000804658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008210097,"about_ca_system_score_gemma":0.000002534815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002845227,"about_ca_topic_score_gemma":0.00004336275,"domain_scores_codex":[0.9988462,0.00006897557,0.0004558846,0.0001443873,0.0003621215,0.0001224219],"domain_scores_gemma":[0.9992383,0.00009394555,0.0004959652,0.00008800147,0.0000286982,0.00005508939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001156276,0.0001106861,0.9853026,0.00001011514,0.00008573136,0.00001768946,0.001257403,0.0003270452,0.007826677,0.0002512229,0.00007584134,0.004619349],"study_design_scores_gemma":[0.0004935789,0.0001087893,0.9952388,0.00002560388,0.00003267197,0.00008812033,0.0002392991,0.001318693,0.0003515298,0.0007728633,0.001259715,0.00007029043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972867,0.00004333214,0.001180797,0.0007664101,0.0001789905,0.00006501674,0.00001347236,0.000003904679,0.0004613252],"genre_scores_gemma":[0.9942898,0.005211473,0.0003158944,0.00005473953,0.00008430605,0.000003117221,0.00001506578,0.000004908678,0.00002074579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009936233,"threshold_uncertainty_score":0.338812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582833775012937,"score_gpt":0.3059143608205439,"score_spread":0.2600860230704145,"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."}}