{"id":"W2060474893","doi":"10.1063/1.4891053","title":"A high-resolution imaging x-ray crystal spectrometer for high energy density plasmas","year":2014,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Department of Energy","keywords":"Spectrometer; Optics; Laser; Imaging spectrometer; Plasma diagnostics; Plasma; Materials science; Crystal (programming language); Bent molecular geometry; Physics; Spectral resolution; Radius of curvature; Curvature; Spectral line; Nuclear physics","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":[0.0003958842,0.0001555767,0.0003059281,0.0001026247,0.0002507211,0.0001017103,0.0001822108,0.00001883059,0.0007890977],"category_scores_gemma":[0.00005334675,0.0001354586,0.0001664366,0.0002162705,0.0001014663,0.0002379723,0.00007260228,0.00006414254,0.00008282093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724916,"about_ca_system_score_gemma":0.00004489123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002764892,"about_ca_topic_score_gemma":0.000007549812,"domain_scores_codex":[0.9986643,0.00004845318,0.0004177705,0.0003387675,0.0002522155,0.0002784503],"domain_scores_gemma":[0.9989935,0.00009292948,0.0002859525,0.0003381023,0.0002100404,0.00007953927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005373588,0.001130981,0.006215916,0.003199141,0.0002697317,0.000001196557,0.00005220765,0.00005145904,0.01288848,0.5514465,0.04794098,0.3767497],"study_design_scores_gemma":[0.005554058,0.0005296123,0.004740286,0.01756406,0.001023429,0.00001414911,0.0001293487,0.01862645,0.2560988,0.07568494,0.6182603,0.001774619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506065,0.0001028214,0.04103418,0.0003285859,0.003916875,0.000542124,0.0003330716,0.00003055006,0.003105272],"genre_scores_gemma":[0.99216,0.00006899053,0.006205953,0.00009010114,0.0001676749,0.00004499944,0.0003184623,0.00001315139,0.0009306497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5703193,"threshold_uncertainty_score":0.8640067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008647922588963318,"score_gpt":0.2354636455174771,"score_spread":0.2268157229285138,"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."}}