{"id":"W3088811650","doi":"10.1021/acs.energyfuels.0c02609","title":"Effects of a Separator on the Electrochemical and Thermal Performances of Lithium-Ion Batteries: A Numerical Study","year":2020,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Separator (oil production); Electrolyte; Porosity; Electrochemistry; Materials science; Lithium-ion battery; Mass transfer; Analytical Chemistry (journal); Heat transfer; Ion; Chemistry; Composite material; Battery (electricity); Electrode; Chromatography; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003827897,0.000444527,0.0005766758,0.0004376756,0.0005820001,0.0007383578,0.000591363,0.001183126,0.001418262],"category_scores_gemma":[0.001993935,0.0002973719,0.0005734999,0.0006030506,0.0008405713,0.0006890827,0.0004897346,0.0004789691,0.0001384908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006984966,"about_ca_system_score_gemma":0.0006565164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006904793,"about_ca_topic_score_gemma":0.003948978,"domain_scores_codex":[0.9998794,0.00003031936,0.00001018968,0.0000185298,0.00003668632,0.00002491404],"domain_scores_gemma":[0.9990376,0.0006181052,0.0001150181,0.00006691056,0.0001348652,0.00002750953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001069834,0.0001175001,0.003095055,0.0001077428,0.00002290979,0.0001587185,0.00005850565,0.9781153,0.01280069,0.001888152,0.0002485439,0.003280021],"study_design_scores_gemma":[0.00001834693,0.0000410244,0.0004556016,0.00000697998,0.000009225285,0.00001643652,0.00002136524,0.9967673,0.00226478,0.0001950697,0.0001972795,0.000006686296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746295,0.0004252177,0.0142202,0.0003632705,0.00004518188,0.00005196714,0.0003082808,0.000144603,0.009811823],"genre_scores_gemma":[0.9930173,0.0001988931,0.00549089,0.00003499681,0.000007271005,0.00004480046,0.00009404997,0.00001602408,0.001095835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006904793,"threshold_uncertainty_score":0.01372916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007283822251984986,"score_gpt":0.2184083620497181,"score_spread":0.2111245397977331,"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."}}