{"id":"W3206783955","doi":"10.1039/d1ee02186a","title":"Monitoring battery electrolyte chemistry <i>via</i> in-operando tilted fiber Bragg grating sensors","year":2021,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China; Agence Nationale de la Recherche","keywords":"Fiber Bragg grating; Electrolyte; Battery (electricity); Materials science; Optoelectronics; Nanotechnology; Chemistry; Electrode; Physics; Physical 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":[0.0001855975,0.0003720947,0.0002513634,0.0002329663,0.0001998728,0.0004727877,0.0006475201,0.0004805729,0.0009823813],"category_scores_gemma":[0.0004353267,0.0002408545,0.0001230548,0.0003062224,0.0002393151,0.0005711877,0.0002870628,0.0003755807,0.0003397163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004115737,"about_ca_system_score_gemma":0.0002331001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493469,"about_ca_topic_score_gemma":0.004558811,"domain_scores_codex":[0.999701,0.00002586609,0.00001510933,0.00008308989,0.0001368135,0.00003807864],"domain_scores_gemma":[0.9998036,0.00003414394,0.00006002772,0.00001778077,0.00007203772,0.00001247143],"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":[0.00007980049,0.00002257241,0.0008411323,0.0000269979,0.000005633688,0.00002834738,0.00003052041,0.0001212648,0.993517,0.00006661213,0.0002119314,0.005048138],"study_design_scores_gemma":[0.000004311142,0.00005733605,0.00151699,0.000002152824,0.000005717167,0.00005049033,0.00002753373,0.002223891,0.9954647,0.00002775813,0.0006124568,0.000006786714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741833,0.0007938765,0.01946854,0.0002746949,0.0001553516,0.00005211776,0.001000491,0.001038371,0.003033199],"genre_scores_gemma":[0.9829792,0.0005816653,0.01356602,0.0001585406,0.00003457973,0.00003734135,0.0003014153,0.00005459281,0.002286642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001493469,"threshold_uncertainty_score":0.003286362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00428851524148405,"score_gpt":0.1871463315577385,"score_spread":0.1828578163162544,"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."}}