{"id":"W4404180145","doi":"10.1109/ceege62093.2024.10744162","title":"Component-level cost analysis of aqueous organic redox flow batteries: An island case study from Canada","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced battery technologies research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Université de Montréal","keywords":"Component (thermodynamics); Aqueous solution; Flow (mathematics); Redox; Environmental science; Chemistry; Environmental chemistry; Computer science; Process engineering; Inorganic chemistry; Engineering; Organic chemistry; Physics; Thermodynamics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004637767,0.0005683798,0.000360116,0.001691751,0.001324518,0.001329847,0.001218987,0.000559208,0.002782788],"category_scores_gemma":[0.001450457,0.0002334003,0.0006027243,0.002828103,0.0006021676,0.0006497208,0.0004883152,0.0004258663,0.0001745325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03004791,"about_ca_system_score_gemma":0.009867483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670311,"about_ca_topic_score_gemma":0.9724407,"domain_scores_codex":[0.99963,0.00003450572,0.00001179743,0.00004030651,0.0001656375,0.0001177199],"domain_scores_gemma":[0.9991203,0.0002378929,0.00003890631,0.00003892324,0.0004990021,0.00006493529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009284589,0.0006613356,0.2161419,0.0007607136,0.0003355878,0.006803695,0.001708607,0.6435915,0.01046303,0.01790744,0.008980835,0.09171697],"study_design_scores_gemma":[0.0001511416,0.0004685929,0.2496904,0.0001790167,0.0004019713,0.0008602549,0.01476858,0.6920882,0.01308563,0.00278782,0.02532105,0.0001973336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835496,0.000220803,0.001573994,0.0001757977,0.000004279051,0.0001221321,0.001795588,0.00003107409,0.01252683],"genre_scores_gemma":[0.9922506,0.0002587,0.001847676,0.00001684876,0.000001148551,0.00003156595,0.001049853,0.00001477963,0.004528793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03296888,"threshold_uncertainty_score":0.2180139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420890358239699,"score_gpt":0.2736257014835866,"score_spread":0.2494167979011896,"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."}}