{"id":"W2889918582","doi":"10.1051/0004-6361/201833058","title":"Measuring the electron temperatures of coronal mass ejections with future space-based multi-channel coronagraphs: a numerical test","year":2018,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Durham University; European Commission","keywords":"Physics; Orbiter; Coronal mass ejection; Line-of-sight; Context (archaeology); Astrophysics; Plasma; Magnetohydrodynamics; Extreme ultraviolet; Coronagraph; Magnetohydrodynamic drive; Solar wind; Space weather; Astronomy; Computational physics; Optics; Planet; Exoplanet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000314414,0.0002015179,0.0001484043,0.0001864452,0.0001826376,0.000315553,0.0005273407,0.0004902946,0.0005070246],"category_scores_gemma":[0.001871059,0.0001206754,0.0002812682,0.000230251,0.0003015909,0.0003176323,0.0002694856,0.0003060522,0.00004168323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052244,"about_ca_system_score_gemma":0.0002486508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002882263,"about_ca_topic_score_gemma":0.00157461,"domain_scores_codex":[0.9999199,0.0000209491,0.00000570923,0.00002039337,0.00002238821,0.00001057576],"domain_scores_gemma":[0.9991772,0.000462109,0.0001258765,0.0001221621,0.00007558471,0.00003702025],"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":[0.00015594,0.0001600584,0.0324095,0.00005856137,0.00006913632,0.000140402,0.00008979919,0.9451008,0.01364991,0.001207593,0.0001689,0.006789475],"study_design_scores_gemma":[0.00002532319,0.00006208133,0.006658535,0.000002823049,0.000009509582,0.00003998792,0.00002016351,0.9892209,0.003498238,0.0002927134,0.0001630671,0.000006554147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852604,0.00007283146,0.01320734,0.00008691342,0.0000122929,0.00002277601,0.0001835828,0.00009768761,0.001056169],"genre_scores_gemma":[0.9924462,0.00002173571,0.007300294,0.00001035692,0.000003640572,0.00001330625,0.00009836415,0.000006758023,0.00009927717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002882263,"threshold_uncertainty_score":0.005730927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006430821866304101,"score_gpt":0.1972549976343594,"score_spread":0.1908241757680553,"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."}}