{"id":"W2025584798","doi":"10.1063/1.4754004","title":"Multi-temperature representation of electron velocity distribution functions. I. Fits to numerical results","year":2012,"lang":"en","type":"article","venue":"Physics of Plasmas","topic":"Dust and Plasma Wave Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Physics; Laguerre polynomials; Electron; Distribution function; Plasma; Velocity Moments; Representation (politics); Distribution (mathematics); Kinetic energy; Relaxation (psychology); Electron temperature; Statistical physics; Quantum mechanics; Mathematical analysis; Mathematics","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":[0.0001209571,0.0001437525,0.0002424712,0.00002574469,0.00006884561,0.00001190119,0.0001032151,0.00004138515,0.00002400997],"category_scores_gemma":[0.00002955969,0.0001414933,0.0001095623,0.0004036032,0.00002900769,0.0002461504,0.00004467233,0.0001613632,0.00005906158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002994885,"about_ca_system_score_gemma":0.0000353783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000128812,"about_ca_topic_score_gemma":0.000001306082,"domain_scores_codex":[0.9989875,0.00004959484,0.0003030892,0.0001867662,0.0001968954,0.0002761487],"domain_scores_gemma":[0.999202,0.00009728032,0.0001994196,0.00023385,0.0001526031,0.0001148663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003004141,0.008796185,0.3068697,0.000255037,0.001314413,8.103976e-7,0.009278141,0.02259263,0.4415307,0.1035307,0.05311879,0.04970868],"study_design_scores_gemma":[0.001345762,0.0002126962,0.05033491,0.00004389896,0.0001100185,4.302331e-7,0.0003548466,0.002080854,0.9388068,0.001673895,0.004640134,0.0003957953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795964,0.00001345334,0.01704979,0.0000985489,0.0002445586,0.0002094111,0.00102685,0.00001816279,0.001742865],"genre_scores_gemma":[0.9964222,7.440184e-7,0.001423439,0.000007249121,0.0004345248,0.00001646377,0.001355995,0.00001221391,0.0003271689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4972761,"threshold_uncertainty_score":0.5769928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101738341151897,"score_gpt":0.2724344443890452,"score_spread":0.2514170609775263,"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."}}