{"id":"W2559781579","doi":"10.1007/s11207-016-1028-5","title":"Plasma Motions and Turbulent Magnetic Diffusivity of Active Region AR 12158 Using a Minimum Energy Functional and Non-Force-Free Reconstructions of Vector Magnetograms","year":2016,"lang":"en","type":"article","venue":"Solar Physics","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Smithsonian Astrophysical Observatory; National Oceanic and Atmospheric Administration; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Physics; Photosphere; Magnetic field; Spheromak; Turbulence; Thermal diffusivity; Solar wind; Astrophysics; Computational physics; Magnetic diffusivity; Magnetohydrodynamics; Mechanics","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":[0.00003680074,0.0001792269,0.0002644253,0.00005548066,0.0001257733,0.00001707494,0.00007782775,0.00006164432,0.00002487461],"category_scores_gemma":[0.000008643924,0.0001524305,0.000110826,0.0001398067,0.0002896326,0.000195297,0.00008905927,0.00008719011,5.756111e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002338402,"about_ca_system_score_gemma":0.00006173453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002414188,"about_ca_topic_score_gemma":0.00003510782,"domain_scores_codex":[0.9991684,0.00004031021,0.0002095976,0.000251554,0.0001356934,0.0001944735],"domain_scores_gemma":[0.9992325,0.0001017278,0.0001917052,0.0002759427,0.0001123291,0.00008584272],"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":[0.0004194217,0.001650224,0.1705416,0.0002349839,0.0009190684,0.00000480887,0.002032427,0.0009966843,0.3259566,0.09212096,0.0003832125,0.4047399],"study_design_scores_gemma":[0.01952153,0.002461383,0.2637321,0.001168514,0.001911772,0.0001884099,0.005265113,0.3464836,0.1127783,0.2428938,0.0007057049,0.002889772],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926075,0.00002334835,0.0731196,0.00007493697,0.0001317168,0.0001084901,0.0002038944,0.00001045925,0.0002524931],"genre_scores_gemma":[0.9982948,0.00002525885,0.001272528,0.000004138584,0.0001514453,0.00001005818,0.00001995955,0.00001987906,0.0002019607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4018502,"threshold_uncertainty_score":0.6215934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018429512190461,"score_gpt":0.1934020470235588,"score_spread":0.1832177519016542,"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."}}