{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010496,0.0002532744,0.0002802088,0.0006995671,0.0002678978,0.0007883436,0.000819262,0.0004377728,0.001415709],"category_scores_gemma":[0.0009287662,0.00022013,0.0001731557,0.0004746606,0.0003481823,0.001162949,0.0003478637,0.0003407731,0.0003746818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144925,"about_ca_system_score_gemma":0.0002471567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378613,"about_ca_topic_score_gemma":0.001892899,"domain_scores_codex":[0.9996891,0.00003073542,0.00002300256,0.00006660825,0.0001452964,0.00004534359],"domain_scores_gemma":[0.9997123,0.00008180668,0.0000684636,0.00003416398,0.00008817768,0.00001517823],"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":[0.0002312512,0.00007778701,0.001595697,0.0001430844,0.00001033856,0.0001323771,0.0001476134,0.002447934,0.9616809,0.0004216651,0.0001158029,0.03299552],"study_design_scores_gemma":[0.00001061589,0.0004277887,0.003260781,0.00001648143,0.000009472122,0.000144443,0.00007514544,0.01604373,0.9781673,0.0003483715,0.001471125,0.00002478428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776319,0.000833986,0.01874311,0.0000948356,0.00003060179,0.00004180982,0.0002253954,0.0004533402,0.001944967],"genre_scores_gemma":[0.993917,0.0003541123,0.00431179,0.00002837064,0.000005707968,0.00002185062,0.00009293197,0.00002136266,0.001246861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415709,"threshold_uncertainty_score":0.004736006,"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."}}