{"id":"W4311356529","doi":"10.18280/mmep.090513","title":"Prediction of Monthly Evaporation Model Using Artificial Intelligent Techniques in the Western Desert of Iraq-Al-Ghadaf Valley","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Anbar","keywords":"Pan evaporation; Support vector machine; Artificial neural network; Evaporation; Artificial intelligence; Mean squared error; Computer science; Machine learning; Coefficient of determination; Pattern recognition (psychology); Statistics; Mathematics; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002742671,0.0003642767,0.0003566116,0.0003454811,0.0002313105,0.0004062521,0.0003550432,0.0003841514,0.0003168133],"category_scores_gemma":[0.0004410812,0.0001273055,0.000416822,0.0004279463,0.0001277111,0.0002313591,0.0001419193,0.000242377,0.0000932878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384186,"about_ca_system_score_gemma":0.0003791568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089612,"about_ca_topic_score_gemma":0.01821574,"domain_scores_codex":[0.9999242,0.00002059355,0.0000066771,0.00001844456,0.00001625784,0.00001391506],"domain_scores_gemma":[0.9998801,0.00005140377,0.00001924067,0.000007063184,0.0000336807,0.000008514319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001061025,0.0001457604,0.0567224,0.00008291921,0.00008153943,0.0003831994,0.0001108901,0.9181359,0.005722186,0.0001873124,0.0005563124,0.01776564],"study_design_scores_gemma":[0.000006634761,0.00003140683,0.02256233,0.000004372193,0.000008125196,0.00001866046,0.00006340924,0.9758968,0.001185289,0.00006502572,0.0001501023,0.000007859305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945747,0.00008674344,0.004356264,0.00004666588,0.000008697302,0.000009718146,0.0001436818,0.00007364257,0.0006999712],"genre_scores_gemma":[0.9976629,0.0000500017,0.0018393,0.000004106896,0.000003326487,0.000009955236,0.0001676317,0.000003973137,0.0002587649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02089612,"threshold_uncertainty_score":0.04154897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09944860818949547,"score_gpt":0.257105170572184,"score_spread":0.1576565623826885,"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."}}