{"id":"W2159265447","doi":"10.1051/0004-6361:20040466","title":"Solar granulation properties derived from three different time series","year":2004,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Instituto de Astrofísica de Canarias; Centre National de la Recherche Scientifique; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Granulation; Granule (geology); Physics; Astrophysics; Series (stratigraphy); Photometry (optics); Broadband; Temporal resolution; Exponential function; Pattern recognition (psychology); Statistical physics; Artificial intelligence; Optics; Mathematical analysis; Computer science; Mathematics; Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002291812,0.0002808814,0.0002988998,0.00002832657,0.0002606391,0.0001458173,0.0001240908,0.00004079045,0.00007188816],"category_scores_gemma":[0.000001227574,0.0002442902,0.0001072119,0.00005709869,0.0001032946,0.000424817,0.00008938856,0.0001906266,0.00007216963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000254422,"about_ca_system_score_gemma":0.00003848766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002500241,"about_ca_topic_score_gemma":0.00002017029,"domain_scores_codex":[0.9990401,0.00002099835,0.0001876821,0.000305827,0.0001262153,0.0003191638],"domain_scores_gemma":[0.9995173,0.00001532985,0.0000930878,0.0002304804,0.00003674848,0.0001071203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000480605,0.0009187519,0.3621612,0.0000345605,0.001024912,0.000005244718,0.002371845,0.01596133,0.1698313,0.02564659,0.00006203406,0.4215016],"study_design_scores_gemma":[0.01226544,0.0012236,0.5538343,0.0004482237,0.0008353336,0.000005212615,0.003952769,0.01084369,0.2709182,0.1347471,0.007430259,0.003495915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6650565,0.00001752174,0.3343352,0.0001555049,0.00006086786,0.0001298524,0.00007316867,0.00003934753,0.0001320207],"genre_scores_gemma":[0.9727376,0.000001199751,0.02634855,0.00001084257,0.0005311457,0.00002284556,0.0002661094,0.0000281664,0.00005356182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4180057,"threshold_uncertainty_score":0.9961866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836414425982279,"score_gpt":0.1696401022074615,"score_spread":0.1638036877814792,"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."}}