{"id":"W2944999732","doi":"10.1017/s1431927619000631","title":"<i>In-Situ</i> Characterization of Lithium Native Passivation Layer in A High Vacuum Scanning Electron Microscope","year":2019,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Micromolding Solutions (Canada); McGill University; Hydro-Québec","funders":"","keywords":"Scanning electron microscope; Materials science; Passivation; Lithium (medication); Layer (electronics); Alloy; Analytical Chemistry (journal); Microanalysis; Scanning transmission electron microscopy; Metallurgy; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000586266,0.0002732439,0.0006245869,0.0005907249,0.000063935,0.00009025628,0.0002299136,0.0001664064,0.0001834903],"category_scores_gemma":[0.00001453653,0.0002693007,0.00008203935,0.0009516214,0.00008804771,0.0005097677,0.00007676389,0.0002465684,0.00002630941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942226,"about_ca_system_score_gemma":0.00008352919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603812,"about_ca_topic_score_gemma":0.0002845566,"domain_scores_codex":[0.9979165,0.0001588169,0.000628202,0.00060461,0.0001806713,0.0005112067],"domain_scores_gemma":[0.9991614,0.00004600362,0.0003406637,0.0002982429,0.0001046461,0.00004910201],"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":[0.0001423466,0.0001185924,0.01474864,0.00006098271,0.00001859756,0.000002597228,0.0006037563,0.000002875911,0.9838115,0.0003767205,0.00004003365,0.00007336264],"study_design_scores_gemma":[0.0006224875,0.0001754218,0.01420607,0.0001293114,0.0000406923,0.000003349569,0.00005771147,0.00002673703,0.9837613,0.0001916824,0.000524166,0.00026108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976144,0.0003446547,0.0008741674,0.000306381,0.0001037235,0.0003996655,0.00002577123,0.00004366642,0.0002875319],"genre_scores_gemma":[0.9961807,0.0002852173,0.002104298,0.0003676724,0.00002905616,0.00003421074,0.0000745658,0.00002810923,0.0008962093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433777,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005597325097885776,"score_gpt":0.2587601336338072,"score_spread":0.2531628085359214,"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."}}