{"id":"W2614183510","doi":"10.1139/cjc-2017-0104","title":"Large-scale hollow nanoparticle identification by X-ray absorption spectroscopy","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"XANES; Nanoparticle; Amorphous solid; Chemistry; Absorption (acoustics); Analytical Chemistry (journal); Absorption spectroscopy; K-edge; Transmission electron microscopy; X-ray; Spectroscopy; Nanotechnology; Crystallography; Materials science; Optics; Chromatography; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002692491,0.0003685303,0.0003148928,0.0004744907,0.0003041348,0.0003096133,0.0002674489,0.0003810132,0.00151612],"category_scores_gemma":[0.0003915144,0.0002804994,0.0001891313,0.0001750115,0.0002785903,0.000425357,0.0003913176,0.0003265559,0.0009532193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289267,"about_ca_system_score_gemma":0.0001814029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005076324,"about_ca_topic_score_gemma":0.001385003,"domain_scores_codex":[0.9998136,0.00001837512,0.00001601061,0.00005837847,0.0000662379,0.0000274362],"domain_scores_gemma":[0.9997742,0.00005412843,0.00004368331,0.00002803265,0.00007842273,0.00002153528],"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":[0.00001880999,0.000004515698,0.00008110026,0.00001556651,0.000001428069,0.00002828425,0.00001601018,0.0000648489,0.9988508,0.00004906264,0.00004399272,0.0008255491],"study_design_scores_gemma":[0.000005757218,0.00003772766,0.001435403,0.000003784346,0.000004679099,0.00006712604,0.00002632911,0.00398221,0.9927222,0.00009297343,0.001615451,0.000006149481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757523,0.001032775,0.1147369,0.0001630749,0.00008070062,0.0002839711,0.00150007,0.00135608,0.005094184],"genre_scores_gemma":[0.8476837,0.0005797801,0.1438265,0.00008916113,0.000018294,0.0001973664,0.001117399,0.0002143769,0.006273386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00151612,"threshold_uncertainty_score":0.005071998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008060165477921568,"score_gpt":0.2317266207360443,"score_spread":0.2236664552581228,"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."}}