{"id":"W4283705646","doi":"10.3390/cleantechnol4030037","title":"State of Charge and Capacity Tracking in Vanadium Redox Flow Battery Systems","year":2022,"lang":"en","type":"article","venue":"Clean Technologies","topic":"Advanced battery technologies research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Electrolyte; Flow battery; Vanadium; Capacity loss; State of charge; Battery (electricity); Redox; Absorbance; Materials science; Electrochemistry; Chemistry; Chemical engineering; Electrode; Computer science; Optoelectronics; Inorganic chemistry; Engineering; Chromatography","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":[0.0002483618,0.0001657734,0.0003004026,0.0006289541,0.00008508204,0.00002060508,0.0005327254,0.00009521018,0.0000135917],"category_scores_gemma":[0.0001565695,0.0001799733,0.0000266239,0.0006281916,0.0002751484,0.0001569634,0.0005218591,0.0007872637,0.000003213925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405958,"about_ca_system_score_gemma":0.000009056785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046511,"about_ca_topic_score_gemma":0.00003883076,"domain_scores_codex":[0.998743,0.00002818779,0.0003093014,0.000261526,0.0002073439,0.0004506574],"domain_scores_gemma":[0.9993355,0.00008564335,0.00005275406,0.0004870763,0.00002074342,0.00001833072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002346993,0.00005713529,0.007725795,0.0006267249,0.00005361445,0.0001335205,0.000486341,0.1131795,0.04821298,0.0006181628,0.001329955,0.8275529],"study_design_scores_gemma":[0.001734902,0.000730521,0.01156959,0.0003445503,0.00001797637,0.0002162563,0.04149203,0.3022123,0.6126074,0.01537091,0.01198165,0.001721936],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939624,0.001225501,0.001393587,0.0001847774,0.0001744535,0.0003090804,0.00008799237,0.002458132,0.0002040396],"genre_scores_gemma":[0.9986309,0.0003845453,0.0007603595,0.000004832502,0.000004025554,0.0001314204,0.000003604789,0.00003600975,0.00004429349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8258309,"threshold_uncertainty_score":0.7339099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069693380833092,"score_gpt":0.236697732333325,"score_spread":0.2160007985249941,"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."}}