{"id":"W2173958366","doi":"10.1149/ma2013-01/37/1306","title":"Structural Evolution and Lattice Strain Measurements of Electrochemically Cycled Pt<sub>3</sub>Fe<sub>2</sub> Nanocatalysts Using Scanning Transmission Electron Microscopy","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McMaster University","funders":"","keywords":"Nanomaterial-based catalyst; Transmission electron microscopy; Scanning electron microscope; Materials science; Scanning transmission electron microscopy; Energy filtered transmission electron microscopy; Strain (injury); Lattice (music); Conventional transmission electron microscope; Scanning confocal electron microscopy; Lattice constant; Nanotechnology; Analytical Chemistry (journal); Crystallography; Chemistry; Nanoparticle; Composite material; Optics; Diffraction; 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":[0.00009934892,0.0001667513,0.0001965446,0.0002463911,0.0001878014,0.0002366398,0.0003338973,0.0003626843,0.001419623],"category_scores_gemma":[0.0002989692,0.0001919004,0.0001405278,0.0002677132,0.0002036892,0.0002757446,0.00009529853,0.0003525171,0.000189896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779808,"about_ca_system_score_gemma":0.0001327672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844225,"about_ca_topic_score_gemma":0.005579113,"domain_scores_codex":[0.9998848,0.000005933956,0.000009439199,0.00002636488,0.00005689651,0.00001652147],"domain_scores_gemma":[0.999841,0.00002680262,0.00002625363,0.00001865882,0.00007138946,0.00001586492],"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":[0.00006937282,0.000009050316,0.0003741776,0.00001797587,0.000004406605,0.0000367744,0.00002594645,0.0001236313,0.9973068,0.00004635921,0.00005164538,0.001933729],"study_design_scores_gemma":[0.000004994514,0.00004135189,0.00532148,0.000002110319,0.000006436556,0.00006944067,0.00003705682,0.001636346,0.9924092,0.00003161101,0.0004350765,0.000004933851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957275,0.0002825577,0.002085539,0.00005383228,0.00002236125,0.000008788767,0.0004926269,0.00009193353,0.001235001],"genre_scores_gemma":[0.9963773,0.0001643629,0.00215481,0.00002016256,0.000002838964,0.000009434098,0.0002497283,0.00002554339,0.0009957982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002844225,"threshold_uncertainty_score":0.005655348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390835702197884,"score_gpt":0.2664795024945171,"score_spread":0.2525711454725383,"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."}}