{"id":"W1997869546","doi":"10.1002/ctpp.201100106","title":"Magnetic Field Line Random Walk in Two‐dimensional Turbulence: Markovian Diffusion versus Superdiffusion","year":2011,"lang":"en","type":"article","venue":"Contributions to Plasma Physics","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Random walk; Statistical physics; Turbulence; Physics; Diffusion; Magnetic field; Confusion; Line (geometry); Anomalous diffusion; Work (physics); Field (mathematics); Mechanics; Mathematics; Quantum mechanics; Computer science; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001658296,0.0003025298,0.0003742678,0.0001101981,0.0002537989,0.00004693976,0.0002559513,0.00008295398,0.0006465705],"category_scores_gemma":[0.00008185211,0.0002945241,0.0001814974,0.0004418286,0.00005191196,0.0001726354,0.00019784,0.0004080942,0.0002673743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009275667,"about_ca_system_score_gemma":0.0001041123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007532347,"about_ca_topic_score_gemma":0.0001937746,"domain_scores_codex":[0.9983415,0.00008688022,0.0003501245,0.0004155175,0.0002553601,0.000550599],"domain_scores_gemma":[0.9987065,0.0003982185,0.00007128851,0.0004005855,0.0001860564,0.0002373552],"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":[0.02542287,0.01224615,0.2948347,0.0001020998,0.0007031893,0.0002068,0.01043685,0.03564148,0.04798987,0.2822745,0.01293891,0.2772026],"study_design_scores_gemma":[0.07540982,0.00268466,0.02059161,0.0004495079,0.0004933461,0.00001175093,0.0009599169,0.813354,0.04194618,0.03632327,0.004675651,0.003100261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831828,0.000028181,0.01050948,0.0003690382,0.0007892199,0.0005281456,0.0004049269,0.0000584495,0.004129723],"genre_scores_gemma":[0.9977813,0.000004217955,0.0009961057,0.00009281943,0.0003218593,0.00007951351,0.0002916784,0.00002519613,0.0004072846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777125,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020076481758743,"score_gpt":0.2573660038443291,"score_spread":0.2471652390267417,"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."}}