{"id":"W4413127595","doi":"10.3390/forecast7030043","title":"Enhancing Neural Architecture Search Using Transfer Learning and Dynamic Search Spaces for Global Horizontal Irradiance Prediction","year":2025,"lang":"en","type":"article","venue":"Forecasting","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Irradiance; Architecture; Computer science; Transfer of learning; Artificial intelligence; Machine learning; Geography; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004047233,0.0001346939,0.0001395356,0.0001173749,0.0005239574,0.0002865426,0.000196525,0.00007734504,0.000001817443],"category_scores_gemma":[0.00009407676,0.0001405474,0.00005738826,0.0005154553,0.0000358131,0.0002764,0.0000794602,0.0002885943,4.745199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376541,"about_ca_system_score_gemma":0.0001231121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008675089,"about_ca_topic_score_gemma":0.0001740604,"domain_scores_codex":[0.9987839,0.00008523842,0.000185974,0.0003733856,0.0001862464,0.0003852194],"domain_scores_gemma":[0.9995146,0.0001908869,0.00002299217,0.0001118752,0.00007432346,0.00008528709],"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":[0.0001789616,0.00006471518,0.08782119,0.000813283,0.0001444365,0.00002623419,0.01049058,0.1684398,0.08568124,0.01300416,0.00002251319,0.6333129],"study_design_scores_gemma":[0.00037096,0.0001114928,0.002688847,0.00009065872,0.000009631069,0.00004956283,0.0002064705,0.9935556,0.00216519,0.0003816981,0.0002559013,0.0001139744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4740794,0.0001730177,0.5250233,0.0001094689,0.000219905,0.0001923369,0.000008711854,0.00007507153,0.000118736],"genre_scores_gemma":[0.9695651,0.000005994533,0.03019748,0.00005143992,0.00007466003,0.00001009038,0.00000812839,0.00000903302,0.00007808935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8251159,"threshold_uncertainty_score":0.5731359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347973145871257,"score_gpt":0.2840208873720174,"score_spread":0.2605411559133048,"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."}}