{"id":"W4319794857","doi":"10.1002/adfm.202211338","title":"An Extremely Stable, Highly Soluble Monosubstituted Anthraquinone for Aqueous Redox Flow Batteries","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced battery technologies research","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Japan Society for the Promotion of Science; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; National Science Foundation","keywords":"Aqueous solution; Redox; Anthraquinone; Materials science; Flow battery; Electrochemistry; Magic angle spinning; Quinone; Analytical Chemistry (journal); Organic chemistry; Electrode; Chemistry; Nuclear magnetic resonance spectroscopy; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000229375,0.0003402205,0.0004099789,0.0003233704,0.0002639375,0.000120997,0.0003393342,0.0001862889,0.0004331669],"category_scores_gemma":[0.0001565684,0.0003536514,0.00005789043,0.0005294058,0.0001422562,0.001011504,0.0001004239,0.0001394774,0.0003814325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624079,"about_ca_system_score_gemma":0.00003482046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005866149,"about_ca_topic_score_gemma":0.000007940374,"domain_scores_codex":[0.997847,0.0000308391,0.0004601738,0.0005056536,0.000326672,0.000829729],"domain_scores_gemma":[0.9988762,0.0001974716,0.0000626952,0.0005884991,0.0001648287,0.0001102958],"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":[0.0002988944,0.00002665211,0.00001835668,0.0001315181,0.00004745133,0.00002037836,0.00001754585,0.1543962,0.8269328,0.0003060332,0.005327689,0.01247649],"study_design_scores_gemma":[0.001027693,0.0002540954,0.0006027117,0.00004787653,0.0000145102,0.00001750386,0.0001213845,0.01112999,0.9540226,0.006292556,0.025924,0.0005450418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832791,0.0001863787,0.1037971,0.0003073802,0.004721483,0.0009640332,0.001025747,0.005554472,0.0001642627],"genre_scores_gemma":[0.9653258,0.0003460395,0.0290357,0.00006240832,0.0004166302,0.001476512,0.001942715,0.0001880387,0.001206116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432662,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911516628405881,"score_gpt":0.2707392578492369,"score_spread":0.2416240915651781,"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."}}