{"id":"W2596250477","doi":"10.1149/ma2010-03/1/757","title":"HQ Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub>/LiFePO<sub>4</sub> Power Battery for Fast Charge Applications","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Battery (electricity); Charge (physics); Electrical engineering; Power (physics); Materials science; Computer science; Physics; Engineering; Thermodynamics","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":[0.0001512164,0.0002396124,0.0002130161,0.0002350576,0.0002275464,0.0006255526,0.0006191759,0.0003117292,0.04630935],"category_scores_gemma":[0.0002180576,0.0001323098,0.0001657089,0.0002615397,0.0001874441,0.0009651244,0.0003675485,0.0003341091,0.006595696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302174,"about_ca_system_score_gemma":0.0002587686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778467,"about_ca_topic_score_gemma":0.002742321,"domain_scores_codex":[0.999903,0.000004536849,0.000004891937,0.00001286886,0.00004877563,0.00002602332],"domain_scores_gemma":[0.9999031,0.000008998148,0.000008977652,0.00001476486,0.00005404307,0.00001023886],"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":[0.002536235,0.0002042342,0.004581325,0.002178748,0.00008114472,0.0008295205,0.0002999664,0.001472613,0.7361559,0.01187606,0.04689422,0.19289],"study_design_scores_gemma":[0.0004195787,0.001981761,0.01446681,0.0002118901,0.000127391,0.001415333,0.0007713481,0.004054999,0.6648484,0.004055069,0.3075758,0.00007160998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6950037,0.008527234,0.03940341,0.001727347,0.00221017,0.0004201256,0.006317021,0.002790255,0.2436008],"genre_scores_gemma":[0.7979491,0.001937975,0.003840673,0.0004636459,0.0001768336,0.0001050642,0.002811754,0.0001995241,0.1925154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04630935,"threshold_uncertainty_score":0.1549202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194025305692362,"score_gpt":0.2427576659906559,"score_spread":0.2308174129337323,"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."}}