{"id":"W4399492622","doi":"10.1103/physrevresearch.6.023260","title":"Cone beam neutron interferometry: From modeling to applications","year":2024,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; U.S. Department of Energy","keywords":"Interferometry; Optics; Grating; Interference (communication); Astronomical interferometer; Visibility; Physics; Talbot effect; Fresnel diffraction; Computer science; Diffraction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006788416,0.0009371963,0.0005802153,0.0005922467,0.0001904362,0.001011543,0.001368817,0.0008820355,0.0008877178],"category_scores_gemma":[0.001361773,0.0004603702,0.0004967919,0.0006666562,0.0005378884,0.001057854,0.0006989531,0.0009795434,0.0003337907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000753835,"about_ca_system_score_gemma":0.0006489599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276322,"about_ca_topic_score_gemma":0.003010635,"domain_scores_codex":[0.9997416,0.00006676209,0.00001169206,0.00003997968,0.0001201788,0.00001987729],"domain_scores_gemma":[0.9996131,0.000153901,0.00006778002,0.0000617465,0.00008444311,0.00001898611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002948199,0.00007589599,0.001519784,0.000275669,0.00003190491,0.0001729929,0.0001028787,0.825358,0.01133968,0.1152633,0.00181195,0.04401845],"study_design_scores_gemma":[0.000001952125,0.000009839432,0.0001576324,0.00002077128,0.000002685412,0.00003254721,0.00001116849,0.9836662,0.001198028,0.0128343,0.002057561,0.000007423015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01195829,0.002687764,0.9788715,0.0005093572,0.00003360874,0.00006040448,0.0001926368,0.0003865807,0.005299754],"genre_scores_gemma":[0.4374694,0.02205478,0.5308806,0.0002952788,0.0002184239,0.0004952509,0.000613447,0.000369193,0.007603761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004276322,"threshold_uncertainty_score":0.008502901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09022881569059771,"score_gpt":0.454921129483195,"score_spread":0.3646923137925973,"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."}}