{"id":"W4390881594","doi":"10.3390/atmos15010103","title":"Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation","year":2024,"lang":"en","type":"article","venue":"Atmosphere","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Aeronautics and Space Administration","keywords":"Computer science; Robustness (evolution); Support vector machine; Artificial intelligence; Machine learning; Artificial neural network; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144313,0.0007699889,0.0006438577,0.0006067748,0.0003776269,0.001177756,0.0005542099,0.0005752934,0.0003610307],"category_scores_gemma":[0.001715465,0.0001788401,0.0006312979,0.0004794855,0.0002382337,0.0005431178,0.0004859989,0.000400622,0.00007135298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008754163,"about_ca_system_score_gemma":0.0005933133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02910446,"about_ca_topic_score_gemma":0.01852511,"domain_scores_codex":[0.9997535,0.00009684583,0.00001943676,0.00004846419,0.00004521765,0.00003656191],"domain_scores_gemma":[0.9993224,0.0003916066,0.00008408182,0.00003544542,0.0001365411,0.00002993407],"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":[0.0001798491,0.00007107665,0.01397473,0.0001071955,0.000107284,0.0001907019,0.0001811998,0.9614967,0.001132928,0.001001429,0.0002230691,0.0213339],"study_design_scores_gemma":[0.000003758769,0.00005156007,0.002646922,0.000008333986,0.00002489234,0.000006834298,0.0000528468,0.9965135,0.0003667047,0.00018163,0.0001366326,0.000006302345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720979,0.001169084,0.02273069,0.0003522851,0.00004735083,0.00003201318,0.0001050605,0.0001327927,0.003332829],"genre_scores_gemma":[0.9977776,0.0001883087,0.001781829,0.000008793199,0.000009032389,0.000007785418,0.00003345388,0.000002740641,0.0001902806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02910446,"threshold_uncertainty_score":0.05787015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752815820755291,"score_gpt":0.2604155577874822,"score_spread":0.2228873995799293,"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."}}