{"id":"W2067778785","doi":"10.1149/2.004203jes","title":"In Situ Investigations of SEI Layer Growth on Electrode Materials for Lithium-Ion Batteries Using Spectroscopic Ellipsometry","year":2011,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Ellipsometry; Electrolyte; Tin; In situ; Electrochemistry; Lithium (medication); Electrode; Layer (electronics); Materials science; Thin film; Analytical Chemistry (journal); Metal; Chemical engineering; Electrochemical cell; Ion; Silicon; Chemistry; Nanotechnology; Optoelectronics; Metallurgy; Physical chemistry; Chromatography; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003410483,0.0004112022,0.0002751521,0.0003108508,0.0002877918,0.0002943503,0.0004381197,0.0002914976,0.001407276],"category_scores_gemma":[0.0005648744,0.0002701032,0.0001500036,0.0003283713,0.0001819836,0.0003859047,0.0001902273,0.000431375,0.0002107695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382592,"about_ca_system_score_gemma":0.0001212029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006603238,"about_ca_topic_score_gemma":0.001587729,"domain_scores_codex":[0.9998586,0.00002198778,0.00001618194,0.00002584723,0.00005341088,0.00002391468],"domain_scores_gemma":[0.9997041,0.000129094,0.00004069944,0.0000293403,0.00008138859,0.0000153716],"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":[0.0000172147,0.000008845292,0.0001236629,0.00002458826,0.000001388027,0.0000146082,0.00002511641,0.00003567346,0.9989807,0.00003121005,0.00001480308,0.0007220235],"study_design_scores_gemma":[0.000001276239,0.00002578469,0.0004461342,0.000001347828,0.000002260194,0.00002459561,0.00001847408,0.0005165977,0.9986842,0.000008165582,0.0002697558,0.000001337959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862993,0.0006255091,0.01097433,0.0000457466,0.00003036513,0.00003319574,0.0003194549,0.000109953,0.001562091],"genre_scores_gemma":[0.9818971,0.0008186892,0.01534113,0.00002491063,0.00001195105,0.00003536788,0.0002618506,0.00004058127,0.001568471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407276,"threshold_uncertainty_score":0.004707754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469863205427789,"score_gpt":0.2576492441184092,"score_spread":0.2329506120641313,"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."}}