{"id":"W4285393136","doi":"10.3390/batteries8070070","title":"On the Current and Future Outlook of Battery Chemistries for Electric Vehicles—Mini Review","year":2022,"lang":"en","type":"article","venue":"Batteries","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Environment and Climate Change Canada","keywords":"Electrification; Anode; Battery (electricity); Electrolyte; Organic radical battery; Lithium metal; Energy storage; Nanotechnology; Cathode; Current collector; Electric vehicle; Materials science; Engineering; Electrode; Electrical engineering; Electricity; 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":[0.0001864621,0.0001459763,0.0002303331,0.00002822606,0.0001235748,0.00001653215,0.0001698386,0.0000133699,0.0003925247],"category_scores_gemma":[0.00002941675,0.0001151112,0.00003021723,0.0000892451,0.00004230732,0.00005545271,0.00008185278,0.00010921,0.000002865592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003542562,"about_ca_system_score_gemma":0.00001028837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.896654e-7,"about_ca_topic_score_gemma":6.552219e-8,"domain_scores_codex":[0.9992581,0.00003151741,0.0002557134,0.0001398345,0.0001433711,0.0001714341],"domain_scores_gemma":[0.9995043,0.0001461291,0.00007061056,0.0002431193,0.00001837302,0.00001748693],"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":[0.000185354,0.0001282402,0.0003206902,0.01499799,0.0001880838,0.000003216288,0.0008337597,0.0002904544,0.1377176,0.003447664,0.667907,0.1739799],"study_design_scores_gemma":[0.0003392102,0.0001678697,0.0004837112,0.0003792051,0.00007073529,0.000009104253,0.0001308283,0.00004444129,0.08051559,0.001809347,0.9156904,0.0003596264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948328,0.0825637,0.0007414594,0.01455279,0.003168011,0.002195445,0.0008705193,0.0002857444,0.0007894654],"genre_scores_gemma":[0.9799584,0.01355636,0.0002107137,0.003448947,0.0005920277,0.001824446,0.00009627318,0.00009692182,0.0002159803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2477833,"threshold_uncertainty_score":0.4694099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382255143124498,"score_gpt":0.2444972697005542,"score_spread":0.2306747182693093,"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."}}