{"id":"W3047467721","doi":"10.1016/j.electacta.2020.136785","title":"Life-cycle analysis of zinc-cerium redox flow batteries","year":2020,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced battery technologies research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flow battery; Chemistry; Cerium; Redox; Battery (electricity); Zinc; Accelerated aging; Nafion; Inorganic chemistry; Analytical Chemistry (journal); Electrode; Electrochemistry; Chromatography; Electrolyte; Physical chemistry; Thermodynamics; Organic chemistry","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":[0.0000482231,0.0001917147,0.0004371936,0.000284486,0.00004278544,0.00002373679,0.000537483,0.0001094229,0.0003881946],"category_scores_gemma":[0.0003497102,0.0001979246,0.0001446276,0.001750171,0.00008866478,0.0001567026,0.0001416162,0.0003805948,0.0000291056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000607994,"about_ca_system_score_gemma":0.00003291249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001575456,"about_ca_topic_score_gemma":0.000008255889,"domain_scores_codex":[0.9986874,0.00002241777,0.0002886157,0.0002782984,0.0002475271,0.0004757523],"domain_scores_gemma":[0.9992376,0.0000792192,0.00004370948,0.0004303926,0.00004410313,0.000165001],"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":[0.00005537656,0.00002060884,0.0003396928,0.00007245167,0.00100981,0.000004709937,0.0002218702,0.01966016,0.9684465,0.00003826672,0.006997889,0.003132681],"study_design_scores_gemma":[0.0003084807,0.0002332736,0.002335341,0.000009996998,0.0002808681,0.000002231033,0.0001007732,0.4500903,0.53411,0.0002065578,0.01187603,0.000446126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96565,0.0002794953,0.02225027,0.007424543,0.00007202249,0.0002244669,0.0000687004,0.001526039,0.002504419],"genre_scores_gemma":[0.9957322,0.0001833142,0.003548797,0.0003477881,0.00005390423,0.00002027369,0.00003861609,0.00004601696,0.00002909504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343365,"threshold_uncertainty_score":0.8071132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073911962049465,"score_gpt":0.2364726081630191,"score_spread":0.2257334885425245,"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."}}