{"id":"W2004095600","doi":"10.1038/srep00182","title":"Determination of total x-ray absorption coefficient using non-resonant x-ray emission","year":2011,"lang":"en","type":"article","venue":"Scientific Reports","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan; University of Waterloo","funders":"Division of Materials Research; Canadian Institutes of Health Research; Materials Research Science and Engineering Center, Harvard University; Natural Sciences and Engineering Research Council of Canada; Cornell Center for Materials Research; University of Saskatchewan; Canadian Light Source; National Science Foundation","keywords":"Measure (data warehouse); Analytical Chemistry (journal); Absorption spectroscopy; Spectroscopy; Fluorescence; Absorption (acoustics); Yield (engineering); Saturation (graph theory)","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":[0.0005872555,0.0005605924,0.0003470648,0.0006994038,0.0002092287,0.0005273897,0.0005732873,0.0004115088,0.001805331],"category_scores_gemma":[0.001120417,0.0002949973,0.0002858881,0.0005265995,0.0005933017,0.000806671,0.0005675745,0.0007270032,0.0004815152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063164,"about_ca_system_score_gemma":0.0001872694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004001525,"about_ca_topic_score_gemma":0.0008849263,"domain_scores_codex":[0.9994777,0.00007426154,0.00002631097,0.0001347913,0.0002445349,0.00004249225],"domain_scores_gemma":[0.99919,0.0003468409,0.0001877996,0.0001146906,0.0001304922,0.00003003186],"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":[0.00007800978,0.00001675398,0.004272283,0.0001502015,0.00003704745,0.00004338425,0.00006694673,0.0005061442,0.9850234,0.001353349,0.0001012273,0.008351193],"study_design_scores_gemma":[0.000006099869,0.00007732243,0.01042984,0.00001180479,0.00003411373,0.0002765259,0.00008353598,0.005576235,0.9809155,0.0006368379,0.001928636,0.00002352787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216114,0.00249739,0.2664195,0.0001326498,0.00007810303,0.00008953847,0.0006035061,0.0006058009,0.007962108],"genre_scores_gemma":[0.9306521,0.001782232,0.06435919,0.00006534312,0.00002163157,0.00008412576,0.000340865,0.0001253556,0.002569088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001805331,"threshold_uncertainty_score":0.006039441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797900636502765,"score_gpt":0.2624878079031686,"score_spread":0.2445088015381409,"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."}}