{"id":"W4388733469","doi":"10.1007/s12517-023-11779-2","title":"Predicting rainfall in Nineveh Governorate in northern Iraq using machine learning time-series forecasting algorithm","year":2023,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Water resources; Series (stratigraphy); Climatology; Climate change; Time series; Meteorology; Scarcity; Hydrology (agriculture); Geography; Mathematics; Statistics; Geology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.003354085,0.0001755252,0.0003069042,0.0002451579,0.0002610341,0.00009181396,0.0004715583,0.00006867378,0.0001254601],"category_scores_gemma":[0.001271808,0.0001427556,0.00007229514,0.001920001,0.0003678319,0.0008513941,0.0002399036,0.0005191091,0.0000680402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221074,"about_ca_system_score_gemma":0.00005159553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390303,"about_ca_topic_score_gemma":0.003535935,"domain_scores_codex":[0.9975652,0.0002129849,0.000681429,0.0003025671,0.0006329646,0.000604837],"domain_scores_gemma":[0.9990315,0.000195037,0.0005247666,0.00009250629,0.00002274193,0.0001334355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001197996,0.00001851369,0.7178812,0.00000267819,0.000002140559,0.0002062226,0.000794979,0.2682728,0.001847474,4.181911e-7,0.000004164921,0.0109574],"study_design_scores_gemma":[0.0003259476,0.0003067999,0.1355998,0.0001602865,0.000005445701,0.0002478905,0.0002385346,0.8621872,0.0001299228,0.0004365555,0.0001854725,0.0001762019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985568,0.00003895924,0.00023125,0.0003294034,0.0001889754,0.00007809792,0.000003003681,0.00003520412,0.0005383213],"genre_scores_gemma":[0.9903983,0.00001266923,0.009111617,0.00005018075,0.00007351189,0.000001127043,0.000001356513,0.00001544457,0.0003358236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5939143,"threshold_uncertainty_score":0.5821406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595400485591804,"score_gpt":0.2346646709474842,"score_spread":0.2087106660915662,"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."}}