{"id":"W2888017362","doi":"10.1088/1361-6595/aadb61","title":"Analysis of the high-energy electron population in surface-wave plasma columns in presence of collisionless resonant absorption","year":2018,"lang":"en","type":"article","venue":"Plasma Sources Science and Technology","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atomic physics; Plasma; Electromagnetic electron wave; Electron; Waves in plasmas; Population; Resonance (particle physics); Physics","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":[0.0002397097,0.00007203914,0.0001857286,0.0007046479,0.00007283774,0.00001207296,0.0002634426,0.0001002214,0.000002098148],"category_scores_gemma":[0.0001604872,0.00006059554,0.00001568695,0.005363451,0.0006033893,0.00007779653,0.0000837105,0.00009008534,5.801197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005776778,"about_ca_system_score_gemma":0.0000322103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008208299,"about_ca_topic_score_gemma":0.01317641,"domain_scores_codex":[0.9991448,0.00001146547,0.0002476368,0.0001937593,0.0002015095,0.0002008251],"domain_scores_gemma":[0.999457,0.0001228389,0.0000821043,0.0002208373,0.00009722406,0.00001997496],"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":[0.00002517373,0.0001378272,0.5486507,0.00002640677,0.00004808376,0.000001668542,0.0005175947,0.1149258,0.2372868,0.09108491,0.00003324959,0.0072618],"study_design_scores_gemma":[0.0001321568,0.0000429626,0.1654827,0.00002692336,0.00002193674,0.00000149502,0.00009933848,0.6241997,0.2080792,0.001769067,0.00007755862,0.00006685703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999464,0.0000249409,0.00008156326,0.0001664449,0.00003845667,0.00009543329,0.00001708797,0.00002491543,0.00008716727],"genre_scores_gemma":[0.9996021,0.00008272611,0.0002801407,0.00000251568,0.000003559011,0.00001332725,0.000003062596,0.000004150967,0.000008465899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5092739,"threshold_uncertainty_score":0.7352746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007163253417117712,"score_gpt":0.2067500348216952,"score_spread":0.1995867814045774,"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."}}