{"id":"W3043725335","doi":"10.1016/j.optmat.2020.110113","title":"Reckoning of nuclear radiation attenuation capabilities for binary GeO2-Tl2O, GeO2-Bi2O3, and ternary GeO2-Tl2O–Bi2O3 glasses utilizing pertinent theoretical and computational approaches","year":2020,"lang":"en","type":"article","venue":"Optical Materials","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Kyungpook National University","keywords":"Effective atomic number; Mass attenuation coefficient; Attenuation; Mean free path; Half-value layer; Attenuation coefficient; Materials science; Atomic number; Electromagnetic shielding; Penetration depth; Bismuth; Analytical Chemistry (journal); Optics; Chemistry; Atomic physics; Physics; Scattering; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001104443,0.0002863433,0.0006632502,0.000105765,0.0002433107,0.0004489944,0.0001858094,0.0001746552,0.0006442177],"category_scores_gemma":[0.0009531087,0.0002604033,0.00007860196,0.0001201939,0.0005592347,0.0004416972,0.0001848031,0.00006821209,0.00001660394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004885786,"about_ca_system_score_gemma":0.00005385727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008675209,"about_ca_topic_score_gemma":8.82058e-7,"domain_scores_codex":[0.9973871,0.000282156,0.00093231,0.0006349672,0.0003989339,0.0003645802],"domain_scores_gemma":[0.9983596,0.0007398186,0.000361718,0.0001987506,0.000143928,0.0001961692],"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":[0.000296596,0.00006945869,0.0008943172,0.0005475672,0.00004487201,0.000004219033,0.001930102,0.001426692,0.9454302,0.04857318,0.00007787858,0.0007049776],"study_design_scores_gemma":[0.003244975,0.001443318,0.02250462,0.0003842628,0.0006949115,0.00011149,0.008926734,0.11127,0.8291619,0.02003898,0.0007355773,0.001483312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938583,0.0001166367,0.00182201,0.00311166,0.000242504,0.00050771,0.0001462194,0.00009728868,0.00009770488],"genre_scores_gemma":[0.9831972,0.00004935283,0.01596934,0.0002731807,0.000308626,0.00005870418,0.00009180013,0.00004672269,0.000005126961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1162683,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352437054331867,"score_gpt":0.2506757147670179,"score_spread":0.2154320093338312,"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."}}