{"id":"W4297846629","doi":"10.21203/rs.3.rs-1407116/v1","title":"A spatial beam property analyzer based on dispersive crystal diffraction for low-emittance X-ray light sources","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan; Paul Scherrer Institut; U.S. Department of Energy","keywords":"Monochromator; Optics; Beamline; Wiggler; Diffraction; Thermal emittance; Synchrotron; Beam (structure); Beam divergence; Synchrotron radiation; Crystal (programming language); Characterization (materials science); Advanced Photon Source; Materials science; Synchrotron Radiation Source; Laser beam quality; Physics; Laser; Cathode ray; Electron; Computer science","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":[0.001496068,0.000958195,0.001100747,0.002377947,0.0006404406,0.00120707,0.001923742,0.0009925271,0.005736727],"category_scores_gemma":[0.001677414,0.0009055449,0.0003889702,0.002003336,0.000612815,0.001422308,0.0009556877,0.0009459183,0.001578396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968882,"about_ca_system_score_gemma":0.001363078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009228552,"about_ca_topic_score_gemma":0.002143271,"domain_scores_codex":[0.9978757,0.0003033324,0.0001583249,0.0004626034,0.00112885,0.00007116418],"domain_scores_gemma":[0.9981487,0.0006274033,0.0002606635,0.0003544157,0.0005414931,0.0000673047],"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":[0.0003360307,0.0001603275,0.00300413,0.000328792,0.00006206205,0.0001058341,0.00007119847,0.001266822,0.9331246,0.003894262,0.001925641,0.05572029],"study_design_scores_gemma":[0.00007388016,0.0001647029,0.003266282,0.00002523513,0.00004743207,0.0004855064,0.00004691297,0.05671826,0.9254745,0.0006114781,0.01300304,0.00008272837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08921111,0.0007845663,0.8934053,0.0001538604,0.000207401,0.0004324126,0.001962396,0.01023552,0.00360739],"genre_scores_gemma":[0.2009479,0.0004031084,0.7937809,0.0001163843,0.00003586213,0.0005786513,0.001053272,0.0003721886,0.00271174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005736727,"threshold_uncertainty_score":0.01919132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709128368165549,"score_gpt":0.3604075724580511,"score_spread":0.3333162887763956,"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."}}