{"id":"W4391335145","doi":"10.1007/s11207-024-02254-6","title":"Energy Definition and Minimization in Avalanche Models for Solar Flares","year":2024,"lang":"en","type":"preprint","venue":"Solar Physics","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Centre National d’Etudes Spatiales; Association Nationale de la Recherche et de la Technologie; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; European Research Consortium for Informatics and Mathematics; Agence Nationale de la Recherche","keywords":"Solar flare; Minification; Energy (signal processing); Energy minimization; Computer science; Environmental science; Physics; Astrophysics; Mathematics; Statistics","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":[0.001318841,0.0009055691,0.001123842,0.0008395783,0.0008645864,0.001845531,0.001942107,0.00172119,0.003866404],"category_scores_gemma":[0.004032719,0.0007494069,0.001331823,0.0007585005,0.00129787,0.00271162,0.002197075,0.001984032,0.0003800845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137845,"about_ca_system_score_gemma":0.0007578799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576724,"about_ca_topic_score_gemma":0.002674821,"domain_scores_codex":[0.9997031,0.000144219,0.00001800671,0.00003523009,0.00006505514,0.00003431769],"domain_scores_gemma":[0.9991522,0.0005333149,0.00006813605,0.00006088252,0.0001029966,0.0000825129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003638416,0.00005159541,0.0004475889,0.00009847303,0.00004747462,0.00007576033,0.00008799162,0.3431408,0.0008800752,0.6463208,0.002552405,0.006260524],"study_design_scores_gemma":[0.000006967608,0.000006175054,0.00008448331,0.00001110964,0.000005543344,0.00002679138,0.00001952448,0.6820139,0.0001353436,0.3166029,0.001080978,0.000006284979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.075422,0.002114109,0.8910652,0.001990276,0.0002581741,0.00008537329,0.0004465769,0.0001349811,0.02848333],"genre_scores_gemma":[0.8251978,0.001734762,0.1278374,0.0006645143,0.0004510609,0.0003454003,0.0008946034,0.0008571647,0.0420173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003866404,"threshold_uncertainty_score":0.01293439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090203822822199,"score_gpt":0.2369830115071599,"score_spread":0.2160809732789379,"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."}}