{"id":"W2307671449","doi":"10.1149/ma2013-02/14/952","title":"(2013 ECS Battery Division Technology Award Lecture) Lithium Metal Vs. Li-Ion Batteries: Challenges and Opportunities","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Lithium metal; Battery (electricity); Lithium (medication); Division (mathematics); Lithium-ion battery; Materials science; Engineering physics; Engineering; Medicine; Physics; Power (physics); Mathematics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007617975,0.0007367767,0.0005003829,0.0005851773,0.0008670829,0.002635,0.0006862326,0.002953305,0.1304179],"category_scores_gemma":[0.0007884683,0.0002823849,0.0004942422,0.0005336519,0.0003136966,0.001774357,0.0009464831,0.002084343,0.04978838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312581,"about_ca_system_score_gemma":0.001931833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252128,"about_ca_topic_score_gemma":0.00850818,"domain_scores_codex":[0.9996861,0.00001525457,0.00001454622,0.00005120525,0.000161289,0.00007161713],"domain_scores_gemma":[0.9995298,0.00003220746,0.00001957635,0.00001325144,0.0002788713,0.0001263102],"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":[0.0001846712,0.0000504307,0.00008112611,0.0002040312,0.000006368508,0.00007510327,0.00001290037,0.00006096595,0.001442186,0.001878714,0.9301937,0.06580972],"study_design_scores_gemma":[0.00005790774,0.0001255356,0.0007968912,0.0001546001,0.00002072236,0.0001802896,0.00005705978,0.0001796133,0.002852035,0.002140865,0.9934195,0.00001495562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.005508604,0.1144306,0.002660455,0.183785,0.3645488,0.0002371475,0.002757311,0.0006115895,0.3254605],"genre_scores_gemma":[0.02132792,0.06466517,0.001230158,0.01878821,0.06033881,0.00009726295,0.001635063,0.0001704072,0.8317471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1304179,"threshold_uncertainty_score":0.4362912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693144323792209,"score_gpt":0.2332276557279733,"score_spread":0.2062962124900512,"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."}}