{"id":"W2974148253","doi":"10.1139/cjp-2019-0252","title":"Study of the solid-state effect on <i>L</i><sub>3</sub> subshell fluorescence yield for high Z targets using Indus-2 synchrotron radiation","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Karnatak University Dharwad; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Synchrotron radiation; Physics; X-ray fluorescence; Yield (engineering); Synchrotron; Photon; Radiation; Fluorescence; Silicon; Chemical state; Atomic physics; Solid-state; Analytical Chemistry (journal); Optics; Nuclear magnetic resonance; Chemistry; Optoelectronics; X-ray photoelectron spectroscopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803488,0.0002109309,0.0004377831,0.0001206927,0.0001980197,0.00005684543,0.0003684575,0.00004365991,0.00002216017],"category_scores_gemma":[0.00002202276,0.0001632289,0.0002767111,0.0003580014,0.00005650925,0.0002332382,0.00001477954,0.0003572976,0.000008571205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375173,"about_ca_system_score_gemma":0.0005631036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906036,"about_ca_topic_score_gemma":0.0007496398,"domain_scores_codex":[0.9986554,0.0001000573,0.0004102114,0.0001950738,0.0002664619,0.0003728253],"domain_scores_gemma":[0.9986516,0.0001267425,0.0005003368,0.0003288797,0.0001892216,0.0002032071],"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":[0.000184474,0.0004273236,0.3275914,0.00006587151,0.0008651112,0.00001028289,0.002476375,0.06157219,0.5810148,0.002179245,0.0005502808,0.02306258],"study_design_scores_gemma":[0.001308108,0.001544583,0.01797633,0.0002189639,0.0003421447,0.000001126535,0.0004252512,0.001832766,0.9745255,0.001539792,0.00002254454,0.0002629066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997568,0.00003343634,0.001215976,0.00004042341,0.00047895,0.0005646375,0.00005265995,0.000002251419,0.00004366997],"genre_scores_gemma":[0.9993786,0.000001556943,0.00004540706,0.00003956806,0.0004857739,0.000005812398,0.000005590792,0.00002609964,0.0000116245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3935107,"threshold_uncertainty_score":0.6656281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00981005205028774,"score_gpt":0.2364199832144687,"score_spread":0.2266099311641809,"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."}}