{"id":"W4283447046","doi":"10.1007/s00477-022-02261-8","title":"Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation","year":2022,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Institut Pengurusan dan Pemantauan Penyelidikan, Universiti Malaya","keywords":"Support vector machine; Computer science; Gene expression programming; Machine learning; Artificial intelligence; Artificial neural network; Mean squared error; Data set; Data mining; Mathematics; Statistics","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":[0.001292251,0.00007743861,0.0001263326,0.0001661826,0.0004577036,0.00002636365,0.000151867,0.00002412406,0.00001359007],"category_scores_gemma":[0.00006101599,0.00007020732,0.0000239741,0.0001145543,0.0001144758,0.0001485358,0.000331538,0.0002795861,1.780906e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064238,"about_ca_system_score_gemma":0.0000442561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008845142,"about_ca_topic_score_gemma":0.000001667561,"domain_scores_codex":[0.9986648,0.000218227,0.0001998666,0.0002266994,0.0005316554,0.0001587739],"domain_scores_gemma":[0.9992415,0.0003620873,0.0001572705,0.0001535719,0.000015198,0.00007033235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002145134,0.0006071509,0.02296963,0.0001428628,0.00007465501,0.000004905996,0.002363221,0.006513229,0.02764854,0.00582745,0.0001199279,0.9335139],"study_design_scores_gemma":[0.0008001875,0.002228157,0.01425485,0.00002085497,0.00001029476,0.00001350592,0.000328275,0.9639499,0.01309603,0.004321811,0.0008693293,0.0001068489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.396504,0.0006723598,0.6018468,0.0001007478,0.0000391093,0.0006604805,0.0001186753,0.0000191552,0.00003875684],"genre_scores_gemma":[0.9642302,0.0007089662,0.03480829,0.000004343642,0.000008989307,0.0001071905,0.00006248136,0.000007383641,0.00006220305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9574366,"threshold_uncertainty_score":0.3520332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737959099200262,"score_gpt":0.3230270842985301,"score_spread":0.3056474933065274,"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."}}