{"id":"W2605645225","doi":"10.3390/qubs1010004","title":"The Brightest Light in Canada: The Canadian Light Source","year":2017,"lang":"en","type":"article","venue":"Quantum Beam Science","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Argonne National Laboratory; Basic Energy Sciences; National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Office of Science; University of Saskatchewan; Canadian Light Source; University of Washington; U.S. Department of Energy","keywords":"CLs upper limits; Light source; Beamline; Synchrotron light source; Phase (matter); Computer science; Optics; Engineering physics; Telecommunications; Physics; Storage ring; Optometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005981493,0.0001285569,0.0001034046,0.00004943857,0.004289459,0.0005799765,0.002421044,0.00001256926,0.00001621923],"category_scores_gemma":[0.00008413993,0.00007428055,0.00002690809,0.000212644,0.0006520677,0.0003698663,0.0001830415,0.0002643542,0.00001708882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727993,"about_ca_system_score_gemma":0.004329594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961734,"about_ca_topic_score_gemma":0.9975688,"domain_scores_codex":[0.9985123,0.00001855286,0.0001621641,0.0002964114,0.0003531502,0.0006573748],"domain_scores_gemma":[0.9983906,0.00007753226,0.0001427966,0.001120221,0.00008589437,0.0001829932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000736923,0.00004701178,0.5790299,0.000004878871,0.00001731995,0.00003304144,0.001547329,0.0001997579,0.00580467,0.3307686,0.03017414,0.05236599],"study_design_scores_gemma":[0.0002212564,0.00002631059,0.1899766,0.00007658875,0.000009440106,0.000005790629,0.001218357,0.006580052,0.04840388,0.04657856,0.7063189,0.0005843382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031817,0.0002711754,0.002736725,0.117455,0.00162928,0.0009388797,0.00003601805,0.0001010585,0.07365013],"genre_scores_gemma":[0.9991696,0.000001993732,0.0001363321,0.0001777218,0.0001012492,0.00002556384,5.210073e-7,0.00001006477,0.0003769572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6761447,"threshold_uncertainty_score":0.9970068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008953508303628028,"score_gpt":0.2501553341435028,"score_spread":0.2412018258398747,"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."}}