{"id":"W2291090574","doi":"10.1107/s1600577515023899","title":"Calibrating the X-ray attenuation of liquid water and correcting sample movement artefacts during<i>in operando</i>synchrotron X-ray radiographic imaging of polymer electrolyte membrane fuel cells","year":2016,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Standards and Technology","keywords":"Synchrotron; X-ray; Materials science; Optics; Attenuation; Sample (material); Calibration; Photon; Electrolyte; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451861,0.0006762175,0.0005122215,0.0003376802,0.00032449,0.0007715832,0.001140963,0.000634568,0.0006341964],"category_scores_gemma":[0.003982359,0.0003986923,0.000191153,0.0005523649,0.0006507607,0.0008236286,0.0005781554,0.0007042993,0.0002545939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000561877,"about_ca_system_score_gemma":0.0005584302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054299,"about_ca_topic_score_gemma":0.00176412,"domain_scores_codex":[0.9990201,0.0001689686,0.0000715138,0.000198982,0.0004654584,0.00007507509],"domain_scores_gemma":[0.9986181,0.000394917,0.00040418,0.0001904739,0.0003619061,0.00003047713],"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":[0.0001100135,0.0000212236,0.001240964,0.0001187611,0.000007272694,0.0001102655,0.0001881581,0.001342313,0.9792023,0.0003374963,0.0001122014,0.01720907],"study_design_scores_gemma":[0.000002445149,0.00005391568,0.001185715,0.000005783721,0.000006445466,0.00007577878,0.0000385127,0.003589802,0.9941518,0.00004473281,0.0008344228,0.00001062623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7542324,0.001227944,0.2417602,0.0002211335,0.0001055761,0.0001151709,0.0001332712,0.0009544065,0.001249886],"genre_scores_gemma":[0.8314639,0.001176114,0.1651698,0.00008826811,0.00001630194,0.000105852,0.0001515172,0.0003127965,0.00151553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451861,"threshold_uncertainty_score":0.00767827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002949518120858149,"score_gpt":0.1768144060412045,"score_spread":0.1738648879203464,"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."}}