{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009823855,0.0009452281,0.0006511121,0.002118494,0.001389466,0.002263952,0.001128218,0.001360483,0.3934997],"category_scores_gemma":[0.0008012548,0.00042273,0.0006667385,0.001497993,0.0003450622,0.001794363,0.002078678,0.001610533,0.1849478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815487,"about_ca_system_score_gemma":0.001066866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009052477,"about_ca_topic_score_gemma":0.003173468,"domain_scores_codex":[0.9991817,0.00003478244,0.00002843295,0.00005911887,0.0005449401,0.0001509996],"domain_scores_gemma":[0.9995585,0.00002459638,0.00001495203,0.00007056304,0.0001989995,0.0001324669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004069328,0.0002432413,0.0004675288,0.0003363231,0.00002590598,0.0003551491,0.00006614655,0.0002568035,0.02985479,0.005116647,0.8409868,0.1218837],"study_design_scores_gemma":[0.00005404316,0.0001040527,0.001369595,0.00008997531,0.00001000574,0.0003314279,0.00003449588,0.0009235451,0.04447128,0.001180402,0.9514098,0.00002132036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01494274,0.00516702,0.005676558,0.004883367,0.01235633,0.00048284,0.01341289,0.004735238,0.9383431],"genre_scores_gemma":[0.03834787,0.002179254,0.002001326,0.0006386942,0.000976978,0.0001170423,0.009118632,0.001005042,0.9456152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3934997,"threshold_uncertainty_score":0.8650991,"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."}}