{"id":"W4389619331","doi":"10.1016/j.asr.2023.12.017","title":"Simulations of field line random walk in noisy slab turbulence","year":2023,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Turbulence; Physics; K-omega turbulence model; K-epsilon turbulence model; Statistical physics; Superposition principle; Magnetohydrodynamic turbulence; Wave turbulence; Field (mathematics); Turbulence modeling; Field line; Context (archaeology); Slab; Classical mechanics; Magnetic field; Mechanics; Computational physics; Magnetohydrodynamics; Mathematics; Geophysics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315454,0.00008012961,0.000187066,0.0003457777,0.00005364577,0.00001642479,0.0002010716,0.00004115842,0.0001063959],"category_scores_gemma":[0.0002382708,0.00007668374,0.00004077543,0.001505928,0.00007346883,0.0002165189,0.0001075605,0.0004256238,0.00003973244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002595246,"about_ca_system_score_gemma":0.00006225515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005807247,"about_ca_topic_score_gemma":0.0009912553,"domain_scores_codex":[0.9987941,0.0001153741,0.0001942962,0.0002017305,0.0003114701,0.0003829662],"domain_scores_gemma":[0.9977627,0.001837019,0.00003358371,0.0002317624,0.00009140933,0.00004355607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002396746,0.0001907675,0.6361806,0.00007531753,0.00001402817,0.00001606408,0.001402063,0.3164301,0.001317147,0.01933992,0.000211688,0.02458263],"study_design_scores_gemma":[0.005557664,0.0002761591,0.01209184,0.0004191051,0.000006421513,4.75903e-7,0.005153087,0.8773835,0.01084895,0.07494845,0.01288126,0.000433058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869782,0.0004108265,0.002337353,0.001163515,0.0001075483,0.0003158934,0.00003472233,0.00001903594,0.008632911],"genre_scores_gemma":[0.9980977,0.0003444127,0.0004417512,0.000004102008,0.00005441274,0.00002686178,0.00002064445,0.00001022566,0.0009998966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6240888,"threshold_uncertainty_score":0.3127072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275594027221429,"score_gpt":0.3985475442887205,"score_spread":0.3709881415665776,"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."}}