{"id":"W2563353782","doi":"10.1021/acsenergylett.6b00604","title":"Electrochemical Energy Storage and Conversion at EEST2016","year":2016,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electrochemistry; Electrochemical energy storage; Energy storage; Electrochemical energy conversion; Materials science; Energy transformation; Environmental science; Process engineering; Engineering physics; Chemistry; Engineering; Supercapacitor; Physics; Electrode; Power (physics); Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042032,0.0002699748,0.0002296771,0.000038979,0.0000813223,0.00001414096,0.0002287628,0.0001835482,0.0002548418],"category_scores_gemma":[0.00008174877,0.0002001814,0.00006348112,0.0001169678,0.0001334806,0.0001393198,0.0001542095,0.0001145226,0.00001777398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810869,"about_ca_system_score_gemma":0.00001402058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077529,"about_ca_topic_score_gemma":0.000001654072,"domain_scores_codex":[0.9985322,0.00001386604,0.0002137475,0.000478524,0.0002142562,0.0005474152],"domain_scores_gemma":[0.9992091,0.0002013051,0.00006413576,0.0002640245,0.00003112352,0.0002303337],"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":[0.00007295061,0.00001634594,0.00003995692,0.0000307976,0.00003506029,0.00001439402,0.00000860106,0.00000409213,0.991582,0.0009446542,0.006617826,0.00063334],"study_design_scores_gemma":[0.0005401694,0.00001620755,0.000002825142,0.00004162251,0.00001770005,0.00005038667,0.000001191582,0.0001446634,0.950457,0.0001905336,0.04822761,0.0003100276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338126,0.0007623279,0.05677479,0.00605664,0.00009300753,0.00002647207,0.000006262821,0.0003621793,0.002105745],"genre_scores_gemma":[0.9936295,0.0002557407,0.0001221324,0.00289508,0.0002622631,0.0000187004,0.00002563472,0.00004295331,0.002748031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05981689,"threshold_uncertainty_score":0.816316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003780504019467913,"score_gpt":0.1753533456607644,"score_spread":0.1715728416412964,"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."}}