{"id":"W2136964136","doi":"10.1017/s1431927611009202","title":"The Advantage of a Dedicated STEM for High-Resolution Structural and Chemical Analysis of Li-Ions Batteries Electrode Materials","year":2011,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Microanalysis; Materials science; High resolution; Electrode; Ion; Nanotechnology; Analytical Chemistry (journal); Engineering physics; Chemistry; Engineering; Archaeology; Physical chemistry; Chromatography; History; Organic chemistry","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":[0.0002068409,0.0004756358,0.0002747565,0.0004025006,0.0003680761,0.0005357563,0.00056894,0.0005283157,0.01261777],"category_scores_gemma":[0.0003748337,0.0002474708,0.0002182598,0.0002782887,0.0002388196,0.001100883,0.0004615289,0.0006839917,0.001986895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321852,"about_ca_system_score_gemma":0.000410478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002351715,"about_ca_topic_score_gemma":0.00120443,"domain_scores_codex":[0.999911,0.000006061848,0.00000747392,0.00002808822,0.00003822775,0.000009092069],"domain_scores_gemma":[0.9997094,0.00009167997,0.00001958515,0.00005941898,0.00009778837,0.00002201963],"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":[0.00004128836,0.00002276831,0.0001510873,0.00008285751,0.000005997469,0.0000530917,0.00001881938,0.0002158982,0.9817707,0.001347051,0.001371774,0.01491868],"study_design_scores_gemma":[0.00002102972,0.00009659896,0.002096026,0.0000140755,0.00001612352,0.0009659635,0.00004501228,0.007170364,0.9664174,0.001399963,0.0217446,0.0000128006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2538179,0.002673408,0.6879321,0.001959004,0.0008661203,0.000240671,0.005648045,0.008371386,0.0384914],"genre_scores_gemma":[0.4688983,0.00163512,0.5123225,0.0008804875,0.0002028089,0.0003571842,0.003804818,0.0007756485,0.0111232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01261777,"threshold_uncertainty_score":0.04221064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009941406716817825,"score_gpt":0.266558020421904,"score_spread":0.2566166137050862,"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."}}