{"id":"W2921108218","doi":"10.1063/1.5086753","title":"Measuring heat flux from collective Thomson scattering with non-Maxwellian distribution functions","year":2019,"lang":"en","type":"article","venue":"Physics of Plasmas","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Department of Energy","keywords":"Thomson scattering; Physics; Heat flux; Plasma; Electron temperature; Scattering; Flux (metallurgy); Temperature gradient; Atomic physics; Electron; Computational physics; Heat transfer; Mechanics; Optics; Nuclear physics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004747065,0.0003527475,0.0003253459,0.0007740865,0.0003914896,0.0004220979,0.0003069236,0.0003300873,0.0007256216],"category_scores_gemma":[0.001121221,0.0001960114,0.000220427,0.0004526454,0.0006522182,0.0007471399,0.0004151567,0.0003720435,0.00008620485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676233,"about_ca_system_score_gemma":0.0002131002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009954547,"about_ca_topic_score_gemma":0.0006592294,"domain_scores_codex":[0.999804,0.00002598367,0.000004952784,0.00004317657,0.00009049079,0.00003141387],"domain_scores_gemma":[0.9995871,0.000207422,0.00004074586,0.00004252366,0.00009769102,0.00002449724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004113457,0.0000932444,0.01085355,0.0001126576,0.0000476828,0.0001845079,0.0004217727,0.03957835,0.9255444,0.009266651,0.0004081898,0.0130776],"study_design_scores_gemma":[0.00004428917,0.000190498,0.02019354,0.00001042866,0.00001959507,0.0001782739,0.0001350564,0.3797104,0.5952387,0.003255228,0.000981397,0.0000426661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428095,0.0001782778,0.05423591,0.00005465207,0.00002791019,0.00003325534,0.0001333781,0.0001701778,0.002356933],"genre_scores_gemma":[0.9949891,0.00006405002,0.004522067,0.000007795556,0.000008298626,0.00001626333,0.00005778689,0.00002462864,0.0003100935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009954547,"threshold_uncertainty_score":0.004906416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118159524476584,"score_gpt":0.1854850452256917,"score_spread":0.1743034499809258,"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."}}