{"id":"W4382940592","doi":"10.1016/j.electacta.2023.142810","title":"Pursuit of next-generation electrochemical energy devices","year":2023,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Electrochemical energy conversion; Electrochemical energy storage; Resource (disambiguation); Computer science; Clean energy; Characterization (materials science); Pillar; Sustainable energy; Nanotechnology; Energy (signal processing); Systems engineering; Process engineering; Biochemical engineering; Electrochemistry; Environmental economics; Engineering; Materials science; Supercapacitor; Renewable energy; Mechanical engineering; Electrical engineering; Chemistry; Electrode","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":[0.001029987,0.0004962925,0.0004875826,0.000588304,0.0004965577,0.001810943,0.001080677,0.002136898,0.008297917],"category_scores_gemma":[0.001293483,0.0002767369,0.0003413544,0.0003621682,0.0008456236,0.004246948,0.001372812,0.002156685,0.003295688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007763189,"about_ca_system_score_gemma":0.001094868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003106256,"about_ca_topic_score_gemma":0.0004334647,"domain_scores_codex":[0.9997349,0.00003993049,0.0000117469,0.00004949919,0.000111519,0.00005231274],"domain_scores_gemma":[0.9995335,0.0001171058,0.00003053421,0.00004087892,0.0001907786,0.00008726985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002585381,0.0003952463,0.0007164457,0.0009886073,0.00004711904,0.0003289616,0.0002058391,0.003480658,0.1725135,0.6470755,0.02525632,0.1487332],"study_design_scores_gemma":[0.00007203937,0.0005329514,0.0008840425,0.0003416718,0.00005133664,0.0008271774,0.0004612457,0.03141889,0.1924759,0.2079535,0.5649294,0.00005181537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.15205,0.2095265,0.362041,0.06343824,0.008346409,0.0002796295,0.001444389,0.001323004,0.2015509],"genre_scores_gemma":[0.6865997,0.08845758,0.1599025,0.007980502,0.00181004,0.0002824599,0.001580646,0.0001889818,0.05319761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008297917,"threshold_uncertainty_score":0.02775931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703868950140766,"score_gpt":0.2035003637671831,"score_spread":0.1864616742657754,"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."}}