{"id":"W2005668056","doi":"10.1063/1.4818145","title":"On collisional diffusion in a stochastic magnetic field","year":2013,"lang":"en","type":"article","venue":"Physics of Plasmas","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Diffusion; Magnetic field; Tokamak; Anomalous diffusion; RADIUS; Random walk; Plasma; Field line; Diffusion process; Statistical physics; Mean free path; Stochastic process; Computational physics; Quantum mechanics; Statistics; Innovation diffusion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005381876,0.0001114658,0.0001569969,0.00007043673,0.00003099028,0.00002062253,0.0001678904,0.00002270834,0.08165564],"category_scores_gemma":[0.00002177505,0.0001009883,0.00005512064,0.0001819972,0.00003304946,0.00002335138,0.0001032926,0.0001582284,0.0002680117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004614637,"about_ca_system_score_gemma":0.00004540719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459102,"about_ca_topic_score_gemma":0.00001984257,"domain_scores_codex":[0.9990656,0.00002581627,0.0002041202,0.0001770107,0.0003192133,0.0002082217],"domain_scores_gemma":[0.9991319,0.0004768554,0.00005543728,0.0002060081,0.00006569542,0.00006411134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001634335,0.002598255,0.01662637,0.0000564057,0.00003258768,0.000002870395,0.0004671191,0.002748053,0.04595182,0.2010753,0.03013472,0.700143],"study_design_scores_gemma":[0.01328883,0.006296404,0.1269365,0.0008713698,0.00006794868,8.621419e-7,0.001833535,0.4313303,0.04312601,0.3704277,0.003978486,0.001842082],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348553,0.000005912663,0.001514976,0.0006038108,0.00006289354,0.0004394614,0.00001284854,0.000006855894,0.06249794],"genre_scores_gemma":[0.9973587,5.849234e-7,0.0001730304,0.00004097401,0.0000619207,0.00008656381,0.00001173825,0.000007646336,0.002258825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.698301,"threshold_uncertainty_score":0.9191839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008457302759897053,"score_gpt":0.238816124255829,"score_spread":0.230358821495932,"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."}}