{"id":"W2080609817","doi":"10.1107/s0909049512029093","title":"Monitoring synchrotron X-ray-induced radiolysis effects on metal (Fe, W) ions in high-temperature aqueous fluids","year":2012,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Argonne National Laboratory; Office of Energy Research and Development; Basic Energy Sciences; Office of Science; European Synchrotron Radiation Facility; Natural Resources Canada; Canadian Light Source; University of Washington; Natural Sciences and Engineering Research Council of Canada; Atomic Energy of Canada Limited; U.S. Department of Energy","keywords":"Radiolysis; Aqueous solution; X-ray absorption spectroscopy; Chemistry; Ion; Kinetics; Tungsten; Synchrotron; Analytical Chemistry (journal); Chemical kinetics; Absorption spectroscopy; Inorganic chemistry; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006337224,0.0003653576,0.0005903535,0.0002773451,0.0001921793,0.00009394142,0.0002720879,0.00033315,0.0001448701],"category_scores_gemma":[0.0002930109,0.0003392663,0.000243922,0.0003677737,0.00002672918,0.001024135,0.00002207701,0.001027929,0.00001208884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049388,"about_ca_system_score_gemma":0.0001302879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001338933,"about_ca_topic_score_gemma":4.614215e-7,"domain_scores_codex":[0.9976301,0.0001304109,0.0007623101,0.0002585656,0.0006495237,0.0005691453],"domain_scores_gemma":[0.998315,0.0003188672,0.0007088842,0.000267857,0.0001191438,0.0002702725],"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":[0.0001798298,0.0002515104,0.01343242,0.0002466862,0.00021884,0.00004179611,0.0003680804,0.0005962329,0.9505802,0.00001754241,0.00008981214,0.03397698],"study_design_scores_gemma":[0.001806647,0.000150134,0.01319477,0.0006760727,0.0001919214,0.00008883472,0.0001822019,0.000114536,0.982948,0.00002871285,0.0002926997,0.0003254837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940392,0.004349742,0.00004159485,0.0001810092,0.0008357062,0.0001165241,0.000005693792,0.00003354507,0.0003970011],"genre_scores_gemma":[0.9941565,0.0003085098,0.0004808477,0.00002960467,0.004841742,0.00002677579,0.00001563576,0.00004681187,0.00009351039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336515,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008456828935833287,"score_gpt":0.2531025709237411,"score_spread":0.2446457419879078,"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."}}