{"id":"W119155464","doi":"","title":"Shock Drift Acceleration in presence of turbulence: A simple model","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Physics; Shock (circulatory); Turbulence; Mach number; Acceleration; Bow shock (aerodynamics); Fermi acceleration; Mechanics; Particle acceleration; Computational physics; Range (aeronautics); Particle (ecology); Moving shock; Oblique shock; Classical mechanics; Shock wave; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004706848,0.0006833503,0.001285705,0.0007324457,0.0006938709,0.001635002,0.001771639,0.002011393,0.002774715],"category_scores_gemma":[0.001193927,0.0004218436,0.00109606,0.0007786582,0.001175561,0.002072649,0.00151057,0.0007408705,0.0007884672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000927453,"about_ca_system_score_gemma":0.0007628066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007956366,"about_ca_topic_score_gemma":0.002542224,"domain_scores_codex":[0.9997335,0.00005183977,0.00001553614,0.00005364236,0.00006208621,0.00008339155],"domain_scores_gemma":[0.9996408,0.00009714385,0.00008389271,0.0000414235,0.00006916877,0.00006753722],"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":[0.0002089314,0.00009799407,0.003016811,0.0001251068,0.00006832769,0.0008338023,0.0002409357,0.7774566,0.00725727,0.2035309,0.001929074,0.005234244],"study_design_scores_gemma":[0.00003582647,0.00003434306,0.0005058788,0.000007498506,0.00001199102,0.00009340177,0.00001864004,0.98182,0.0001110849,0.016915,0.0004268495,0.00001953961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4753334,0.002910599,0.4499933,0.002762376,0.000566843,0.0002709074,0.001353255,0.0009556011,0.06585371],"genre_scores_gemma":[0.9721246,0.0009909088,0.006732473,0.0002687859,0.0001900891,0.0001200677,0.0002185178,0.00007101275,0.01928354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007956366,"threshold_uncertainty_score":0.01582009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623464935000149,"score_gpt":0.2668614968239181,"score_spread":0.2506268474739166,"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."}}