{"id":"W4223645105","doi":"10.1088/1742-6596/2247/1/012013","title":"The new-type batteries with ultimate energy density","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Energy storage; Automotive engineering; Energy density; Electric vehicle; Electrical engineering; Environmental science; Engineering physics; Engineering; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005892117,0.0001140011,0.0001762322,0.00002060906,0.0002429574,0.00009167152,0.0002539006,0.00001591256,0.00004201155],"category_scores_gemma":[0.000008790797,0.0000734685,0.00002854788,0.0001109377,0.000102542,0.0003277287,0.00008584699,0.0001687669,0.000001134121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003247019,"about_ca_system_score_gemma":0.00006246152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005310757,"about_ca_topic_score_gemma":0.00001454148,"domain_scores_codex":[0.9994214,0.00001769223,0.0001787703,0.00005613822,0.0001723409,0.0001537095],"domain_scores_gemma":[0.9995623,0.00003118835,0.0001257644,0.0001442342,0.0001090379,0.00002751561],"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":[0.001024567,0.00006097227,0.0005163822,0.00007511397,0.0004696258,0.0001577718,0.001568639,0.05804629,0.3716978,0.2494377,0.01504039,0.3019047],"study_design_scores_gemma":[0.0002563638,0.0005486858,0.0003153147,0.00002005844,0.00002544931,0.0002078293,0.001408031,0.0001170608,0.858287,0.0816238,0.05696337,0.0002270381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8335617,0.0005435674,0.1599501,0.002606739,0.002216975,0.00008534628,0.00001961757,0.0003088637,0.0007070684],"genre_scores_gemma":[0.9982495,0.0003025397,0.00111802,0.00003744971,0.0001130291,0.000002700339,0.000001457995,0.00001580676,0.0001594865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865892,"threshold_uncertainty_score":0.2995959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695142720661019,"score_gpt":0.1919015829356399,"score_spread":0.1822064402149788,"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."}}