{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005530018,0.0004442052,0.0003895106,0.0004693137,0.0001953984,0.0004292082,0.0005875973,0.0005556521,0.0008779203],"category_scores_gemma":[0.001570056,0.0002395356,0.0004381005,0.0004459588,0.0003035516,0.0009141955,0.000537014,0.0005391028,0.0001489522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444164,"about_ca_system_score_gemma":0.0004868938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771497,"about_ca_topic_score_gemma":0.003599479,"domain_scores_codex":[0.9998779,0.00003507491,0.000008391826,0.00002538766,0.00003725617,0.00001596075],"domain_scores_gemma":[0.9996779,0.0001784438,0.00003704014,0.00003391437,0.00006246219,0.00001023819],"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":[0.00003031559,0.00005779582,0.0009205645,0.0000205528,0.00003432018,0.00003384472,0.00003499918,0.9109311,0.003744006,0.001264812,0.0001847217,0.08274293],"study_design_scores_gemma":[0.000001405009,0.00001526786,0.00009769413,9.060589e-7,0.000002071359,0.000003495306,0.000002150186,0.9991738,0.0004290866,0.0002166627,0.00005610391,0.000001205529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2026727,0.0005202222,0.7926005,0.0001387333,0.00003922825,0.00004713023,0.00002284124,0.0005939,0.003364726],"genre_scores_gemma":[0.9379675,0.0001247651,0.06068974,0.00003694168,0.00001037307,0.00004932569,0.00003283344,0.00002306871,0.001065313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003771497,"threshold_uncertainty_score":0.007499039,"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."}}