{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001185735,0.0003429244,0.0003851984,0.00008897577,0.00008322037,0.0002068827,0.0001405409,0.0002170081,0.000006076178],"category_scores_gemma":[0.000004412003,0.0003700851,0.0002005491,0.000115208,0.00003801847,0.0001308559,0.0003565398,0.0005181415,0.000006245137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004755201,"about_ca_system_score_gemma":0.0001452174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002599563,"about_ca_topic_score_gemma":0.00005812994,"domain_scores_codex":[0.9986839,0.00005012699,0.0002760403,0.0005422314,0.0001478884,0.0002997861],"domain_scores_gemma":[0.999335,0.00009525374,0.0001253293,0.0002978516,0.00008333125,0.0000632134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008664672,0.0004072594,0.004539744,0.001079431,0.0005348642,0.000005028312,0.003877442,0.1100916,0.0003158482,0.8203036,0.00185076,0.0569078],"study_design_scores_gemma":[0.0002224966,0.00001351084,0.00002059855,0.0001136412,0.00007486608,2.00504e-7,0.0001452789,0.4592027,0.0003336665,0.5394636,0.0001747377,0.0002346853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07963435,0.0007508183,0.9113674,0.0001891255,0.0008553729,0.0006035738,0.001505854,0.0001064851,0.004987073],"genre_scores_gemma":[0.9898506,0.00009682638,0.006281223,0.00003953949,0.0006720886,0.0002445949,0.00255723,0.00008959645,0.0001682379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9102163,"threshold_uncertainty_score":0.9998751,"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."}}