{"id":"W2049004357","doi":"10.1016/j.jpowsour.2013.12.145","title":"Sensitivity analysis of a mathematical model of lithium–sulfur cells: Part II: Precipitation reaction kinetics and sulfur content","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sulfur; Lithium–sulfur battery; Chemistry; Dissolution; Precipitation; Lithium (medication); Sensitivity (control systems); Cathode; Battery (electricity); Inorganic chemistry; Kinetics; Thermodynamics; Electrolyte; Organic chemistry; Physical chemistry; Electrode; Engineering; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000329351,0.00008912825,0.0003956036,0.0001907642,0.0000160085,0.00001030001,0.00004674956,0.00006667156,0.000005478327],"category_scores_gemma":[0.0001049417,0.00007029848,0.00008453343,0.0001095207,0.00005851089,0.0001139864,0.00002495561,0.0000820466,1.992831e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001386403,"about_ca_system_score_gemma":0.000002884651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001581142,"about_ca_topic_score_gemma":0.000002396618,"domain_scores_codex":[0.999214,0.00002932764,0.0004590772,0.0000606193,0.0001530377,0.00008394885],"domain_scores_gemma":[0.9992974,0.0001117161,0.0003233517,0.0001069599,0.0001327389,0.00002779883],"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":[0.00002416499,0.00005315645,0.000214112,0.00008003222,0.0002408395,8.180014e-7,0.0008107399,0.104874,0.8927871,0.0002554754,0.000024136,0.00063542],"study_design_scores_gemma":[0.0003095331,0.000340333,0.004037614,0.0001378796,0.0005927412,0.00001384914,0.0007628324,0.1447792,0.8465472,0.002150288,0.0001921082,0.0001363879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911639,0.0000630278,0.08801431,0.00004606164,0.00007673038,0.00003230139,0.00001044699,0.00002075273,0.00009738263],"genre_scores_gemma":[0.9948842,0.00007523275,0.004988408,0.000004806403,0.00001981053,6.093179e-7,7.975472e-7,0.000008738873,0.00001740973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0832452,"threshold_uncertainty_score":0.2866689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981581060322888,"score_gpt":0.2192546624866946,"score_spread":0.1994388518834657,"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."}}