{"id":"W3006041466","doi":"10.1016/j.est.2020.101231","title":"Strategies to limit degradation and maximize Li-ion battery service lifetime - Critical review and guidance for stakeholders","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":202,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Royal Bank of Canada","keywords":"Cordless; Battery (electricity); Electronics; Service (business); Product (mathematics); Degradation (telecommunications); Limiting; Computer science; Reliability engineering; Risk analysis (engineering); Power (physics); Automotive engineering; Engineering; Telecommunications; Business; Electrical engineering; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001493185,0.0001281399,0.0002773701,0.00008376146,0.00004002436,0.00006217854,0.0001643153,0.00006259559,0.00001404657],"category_scores_gemma":[0.0003373501,0.000118001,0.00003161696,0.0001932723,0.00003357881,0.0004617662,0.00006043835,0.0001857028,9.459823e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004426942,"about_ca_system_score_gemma":0.00002309866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002205828,"about_ca_topic_score_gemma":0.000005505113,"domain_scores_codex":[0.9991827,0.00002511195,0.0003069287,0.0001305733,0.000161042,0.0001936694],"domain_scores_gemma":[0.9993693,0.000151103,0.00005566694,0.0001072258,0.0001604377,0.0001562605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001012806,0.0002063082,0.000688512,0.0278146,0.0008588576,0.0006712778,0.001288366,0.2684987,0.2492676,0.01331308,0.2419013,0.1944787],"study_design_scores_gemma":[0.005461671,0.005321669,0.006236496,0.008999367,0.0008159571,0.0009166794,0.004142939,0.1287389,0.0424967,0.007308824,0.7864522,0.003108587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05201809,0.04918412,0.8383451,0.05943874,0.0002313803,0.0002804461,0.00004100466,0.0001854721,0.0002756245],"genre_scores_gemma":[0.9450671,0.01318055,0.03431863,0.007017531,0.000261536,0.0000332553,0.00000593892,0.00007166804,0.00004375451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8930491,"threshold_uncertainty_score":0.4811943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07386634674687051,"score_gpt":0.2923255801170973,"score_spread":0.2184592333702268,"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."}}