{"id":"W1947645428","doi":"10.1063/1.4932346","title":"Three-dimensional gyrokinetic simulation of the relaxation of a magnetized temperature filament","year":2015,"lang":"en","type":"article","venue":"Physics of Plasmas","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; National Science Foundation","keywords":"Physics; Instability; Protein filament; Convection; Magnetic field; Amplitude; Plasma; Saturation (graph theory); Electron; Condensed matter physics; Electron temperature; Temperature gradient; Relaxation (psychology); Mechanics; Atomic physics; Computational physics; Optics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.00007710585,0.0001091878,0.000200644,0.000008814197,0.00002392419,0.000004481616,0.0001287291,0.00003844193,0.00007469592],"category_scores_gemma":[0.00001250537,0.00008260438,0.0001141035,0.0001657126,0.00006776929,0.0000754114,0.00006022009,0.00009301115,0.000003326059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221261,"about_ca_system_score_gemma":0.0001145809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001998246,"about_ca_topic_score_gemma":0.00001701268,"domain_scores_codex":[0.9992051,0.00002625665,0.0002834362,0.0001135703,0.000275499,0.00009612846],"domain_scores_gemma":[0.9990008,0.00008114937,0.0003746664,0.0002426433,0.0002704696,0.00003026813],"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":[0.0001790342,0.0005039662,0.02018574,0.00006673054,0.0001110437,1.222732e-7,0.0005313187,0.8899328,0.02880874,0.05144544,0.001195959,0.007039063],"study_design_scores_gemma":[0.004532869,0.000625862,0.02238417,0.0002227308,0.0002607144,3.039119e-7,0.0003643623,0.6685555,0.1307368,0.1712174,0.0006477285,0.0004515678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938788,0.00003129385,0.003235894,0.00005338458,0.0001788605,0.0002372033,0.00006173244,0.000005999621,0.002316788],"genre_scores_gemma":[0.9982538,2.653074e-7,0.001398927,0.000006944736,0.00008855862,0.000005292004,0.00004732977,0.00001118587,0.00018765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2213773,"threshold_uncertainty_score":0.3368509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139464123394309,"score_gpt":0.2234040788049743,"score_spread":0.2120094375710312,"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."}}