{"id":"W3081244064","doi":"10.1038/s41560-020-0665-y","title":"Operando decoding of chemical and thermal events in commercial Na(Li)-ion cells via optical sensors","year":2020,"lang":"en","type":"article","venue":"Nature Energy","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":342,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Agence Nationale de la Recherche","keywords":"Battery (electricity); Electrolyte; Materials science; Fiber Bragg grating; Thermal; Thermal runaway; Reliability (semiconductor); Heat generation; Optical fiber; Isothermal process; Temperature measurement; Optoelectronics; Computer science; Wavelength; Electrode; Chemistry; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.00002806437,0.0001058726,0.000195277,0.0000311555,0.000009470773,0.000003250713,0.00008846363,0.0002609855,0.00001277603],"category_scores_gemma":[0.0000215879,0.00009364226,0.00002151627,0.0000781409,0.00002653004,0.00005228329,0.00005992368,0.0002309041,8.925721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001352668,"about_ca_system_score_gemma":0.0000022219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005147683,"about_ca_topic_score_gemma":0.000002301887,"domain_scores_codex":[0.9995199,0.00001033769,0.0001445488,0.0001181466,0.00007027356,0.0001368156],"domain_scores_gemma":[0.9998417,0.00003577278,0.00001543264,0.00006607641,0.00000892819,0.00003209817],"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":[0.00004397948,0.000009003646,0.0001934997,0.0000318891,0.000008857062,0.000006402699,0.00004095157,0.004926283,0.9870105,0.0004908954,0.00001952848,0.007218224],"study_design_scores_gemma":[0.0004504175,0.00001727106,0.0005814757,0.00002062595,0.000003907541,0.000002527957,0.0000100641,0.005842923,0.9926445,0.0000830525,0.0002392686,0.0001039569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983978,0.0002157328,0.0008254678,0.0001498175,0.0001709317,0.00003214488,0.000003738468,0.00009713155,0.0001072929],"genre_scores_gemma":[0.998807,0.00005456625,0.0009363831,0.0000948989,0.00008112493,0.000003362228,0.000004696263,0.00001671576,0.00000131961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007114267,"threshold_uncertainty_score":0.381862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004837785226265167,"score_gpt":0.197089782010712,"score_spread":0.1922519967844468,"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."}}