{"id":"W4411063389","doi":"10.1088/1742-6596/3010/1/012058","title":"Designing a High-Performance Quarter Waveplate for Improved Signal Quality in X-ray Magnetic Circular Dichroism Studies at EMA Beamline","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Crystallography and Radiation Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beamline; Waveplate; Circular dichroism; Magnetic circular dichroism; Optics; X-ray magnetic circular dichroism; Circular polarization; SIGNAL (programming language); Quality (philosophy); Quarter (Canadian coin); Physics; Computer science; Chemistry; Crystallography; Astronomy; Beam (structure); History; Spectral line","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003900893,0.0002009442,0.0005052606,0.0001219154,0.0001778794,0.00006183859,0.0001706405,0.00003688112,0.00003791029],"category_scores_gemma":[0.0000101783,0.0001703866,0.0001663634,0.000244509,0.0001356133,0.000466551,0.00004395337,0.0002062263,7.783943e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005619676,"about_ca_system_score_gemma":0.0001724172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001234405,"about_ca_topic_score_gemma":0.000004869432,"domain_scores_codex":[0.9986939,0.0000735413,0.0006657938,0.000176631,0.0001341898,0.0002559156],"domain_scores_gemma":[0.9987714,0.0001668376,0.0004568474,0.0001429273,0.0004113551,0.00005063083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001980967,0.001081952,0.06216742,0.001158458,0.002238631,0.000006880668,0.01383814,0.00751654,0.5483431,0.2076818,0.0007318215,0.1532543],"study_design_scores_gemma":[0.01467369,0.003698935,0.1082782,0.001582322,0.0007276538,0.000005731453,0.02080614,0.006589184,0.326434,0.5122515,0.00311236,0.001840251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882866,0.0004751012,0.1098788,0.0005945065,0.0002832438,0.0002878368,0.00004103568,0.00001006152,0.0001428254],"genre_scores_gemma":[0.997566,0.00005269486,0.001828077,0.00005327232,0.0002465507,0.00002806101,0.00001369161,0.00000988685,0.0002018009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045698,"threshold_uncertainty_score":0.6948164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903469298013807,"score_gpt":0.2703710082609262,"score_spread":0.2513363152807882,"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."}}