{"id":"W4386325297","doi":"10.18280/ts.400442","title":"Sky Image Classification Based Solar Power Prediction Using CNN","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Sky; Artificial intelligence; Computer science; Pattern recognition (psychology); Computer vision; Meteorology; Physics","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":[0.00008055,0.0005561096,0.0002842436,0.000742076,0.000145122,0.000439866,0.0005068055,0.0004061203,0.002733995],"category_scores_gemma":[0.0002598892,0.0002008476,0.0004464243,0.0005747788,0.0001067676,0.0004448777,0.0002038948,0.0003465331,0.0008058482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005074072,"about_ca_system_score_gemma":0.0003110378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712436,"about_ca_topic_score_gemma":0.02182736,"domain_scores_codex":[0.9999301,0.000002691625,0.000002910394,0.00002402859,0.00001974108,0.0000204254],"domain_scores_gemma":[0.9999419,0.000008351985,0.000009386396,0.000006634405,0.00002913412,0.00000460071],"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":[0.0003732631,0.0002460372,0.01742002,0.0001802689,0.0001597467,0.0004454954,0.00005697956,0.3430143,0.05231647,0.001276084,0.01359505,0.5709162],"study_design_scores_gemma":[0.000003554979,0.0000210094,0.004587191,0.000006910915,0.00001281817,0.00004057121,0.00001080034,0.9868593,0.007405059,0.0003010616,0.0007464582,0.000005222187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6616474,0.001969294,0.2954538,0.0007042194,0.0005805563,0.000138253,0.004106145,0.009433713,0.02596652],"genre_scores_gemma":[0.960832,0.0005156377,0.02824131,0.00012013,0.00006596802,0.00003157218,0.002670541,0.0000824697,0.00744037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01712436,"threshold_uncertainty_score":0.03404933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106596052349232,"score_gpt":0.2644921906950876,"score_spread":0.2234262301715952,"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."}}