{"id":"W3116355650","doi":"10.1149/ma2020-02623177mtgabs","title":"Decoupling Electrolyte and Electrode Reactions Using in-Operando Electrochemical X-Ray Powder Diffraction","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"","keywords":"Electrolyte; Materials science; Electrochemistry; Electrode; Separator (oil production); Lithium (medication); Nucleation; Electrochemical cell; Battery (electricity); Chemical engineering; Nanotechnology; 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":[0.00065247,0.001095089,0.0009762369,0.0007428756,0.0005037286,0.001190769,0.001471796,0.0006282278,0.003742258],"category_scores_gemma":[0.0008728195,0.0005844551,0.000268371,0.0009633247,0.0004513265,0.0009310459,0.0007258955,0.001092049,0.001239132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290892,"about_ca_system_score_gemma":0.0004112032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009160627,"about_ca_topic_score_gemma":0.002144154,"domain_scores_codex":[0.9992751,0.00003818661,0.00009120908,0.0001912762,0.0003413708,0.00006275515],"domain_scores_gemma":[0.9995097,0.00009454145,0.00007739965,0.0001482155,0.0001485337,0.00002146447],"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":[0.0001007454,0.00006044346,0.0009396322,0.00015447,0.00001270172,0.000105549,0.00008566147,0.000291902,0.9883216,0.0003984348,0.0005026655,0.009026101],"study_design_scores_gemma":[0.000008538823,0.00005404119,0.001275934,0.000004817709,0.00000568535,0.00007997989,0.00003021576,0.002134243,0.9916482,0.00007369331,0.004674262,0.00001037418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7807599,0.002541162,0.1831701,0.0004896339,0.0002853292,0.0007103697,0.01060793,0.00567443,0.01576117],"genre_scores_gemma":[0.7720553,0.002647712,0.2072658,0.000235067,0.00005772872,0.0007717894,0.006940735,0.0009266222,0.009099267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003742258,"threshold_uncertainty_score":0.01251906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476860320228565,"score_gpt":0.2443056038844643,"score_spread":0.2295370006821787,"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."}}