{"id":"W3039497964","doi":"10.1002/adma.202002550","title":"Temperature‐Dependent Chemical and Physical Microstructure of Li Metal Anodes Revealed through Synchrotron‐Based Imaging Techniques","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Materials science; Anode; Electrolyte; Electrochemistry; Synchrotron; Characterization (materials science); Microstructure; Metal; Faraday efficiency; Electrode; Chemical engineering; Alloy; Analytical Chemistry (journal); Nanotechnology; Metallurgy; Physical chemistry; Optics; 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":[0.00008808477,0.0001451443,0.00008662594,0.0002778269,0.000152637,0.0003281713,0.0001844554,0.0002138478,0.002187699],"category_scores_gemma":[0.0001292963,0.0002050442,0.0001004103,0.0001721981,0.0001714173,0.0002344253,0.000153856,0.0002839037,0.0003256469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459965,"about_ca_system_score_gemma":0.0002151746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621631,"about_ca_topic_score_gemma":0.001697352,"domain_scores_codex":[0.9999434,0.000004346468,0.000003342031,0.00001532356,0.00002405223,0.000009588387],"domain_scores_gemma":[0.9999285,0.00001049061,0.00002287613,0.00001173594,0.00002068351,0.000005667881],"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":[0.00002611526,0.000008329658,0.000656141,0.00004666296,0.00000379312,0.00003855421,0.00003043354,0.0001595806,0.9957702,0.0003053584,0.000122032,0.002832797],"study_design_scores_gemma":[0.000005640509,0.00004449726,0.02026188,0.000007793797,0.00001212189,0.0003701353,0.00006427259,0.004217659,0.9712521,0.0001342826,0.003623286,0.000006226284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785854,0.001269455,0.01305709,0.000126501,0.00002110975,0.00001727007,0.0005315761,0.000229591,0.006161903],"genre_scores_gemma":[0.9912851,0.0003871947,0.005535003,0.00002330073,0.000005462095,0.00001816715,0.0003383031,0.0000243306,0.00238316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002187699,"threshold_uncertainty_score":0.007318556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006757936097369824,"score_gpt":0.2418304284184877,"score_spread":0.2350724923211179,"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."}}