{"id":"W4210530892","doi":"10.1038/s41467-022-28267-y","title":"Operando monitoring of ion activities in aqueous batteries with plasmonic fiber-optic sensors","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced battery technologies research","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Plasmon; Optical fiber; Ion; Aqueous solution; Optoelectronics; Fiber optic sensor; Materials science; Nanotechnology; Chemistry; Telecommunications; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009421066,0.0001031936,0.0001543277,0.0002441953,0.0001670228,0.000009629266,0.0008464506,0.00008662827,0.00003014433],"category_scores_gemma":[0.00004396274,0.0001038059,0.0000221992,0.0004968608,0.0001370513,0.0001369412,0.0004895508,0.001582021,0.000002164953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395496,"about_ca_system_score_gemma":0.00002220842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001398117,"about_ca_topic_score_gemma":0.00006851572,"domain_scores_codex":[0.9992989,0.00007275966,0.0001501981,0.0001021398,0.0001893507,0.0001866845],"domain_scores_gemma":[0.9985302,0.0003416986,0.00003015874,0.001055307,0.00002656312,0.00001609082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002569468,0.0003720971,0.05237269,0.0002563317,0.0002466608,0.00004462219,0.00333121,0.8403661,0.06886359,0.002530179,0.0008352288,0.0305244],"study_design_scores_gemma":[0.007478599,0.001397644,0.08435201,0.0007557801,0.0001104268,0.0005497778,0.03330575,0.07201038,0.6186717,0.001159576,0.1770972,0.003111165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944643,0.00338666,0.00002097449,0.0005236252,0.00007099882,0.0001949006,0.00002191624,0.00022792,0.001088708],"genre_scores_gemma":[0.9915972,0.0005344506,0.00749444,0.000005312323,0.000006800562,0.0002287617,0.00001448104,0.00002835271,0.00009017006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7683557,"threshold_uncertainty_score":0.6873183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625731890838253,"score_gpt":0.2810509067213581,"score_spread":0.2647935878129755,"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."}}