{"id":"W58605961","doi":"","title":"Computational Simulation of Lithium Ion Transport through Polymer Nanocomposite Membranes","year":2003,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Membrane; Lithium (medication); Anode; Materials science; Ionic conductivity; Nanocomposite; Conductivity; Ion; Cathode; Ion transporter; Conductor; Ionic bonding; Polymer; Chemical engineering; Nanotechnology; Chemistry; Composite material; Electrode; Electrolyte; Physical chemistry; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279954,0.0005537613,0.0009632632,0.000606909,0.0009742935,0.001031847,0.001149405,0.001928666,0.003447835],"category_scores_gemma":[0.002438663,0.0006442929,0.0007988491,0.0008059143,0.001103134,0.0006018927,0.0007975709,0.001116654,0.0002119108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710942,"about_ca_system_score_gemma":0.002110173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.033417,"about_ca_topic_score_gemma":0.01611157,"domain_scores_codex":[0.9998378,0.00003886743,0.000008320778,0.00002211156,0.00004221004,0.00005070178],"domain_scores_gemma":[0.9986596,0.0009677571,0.00008278419,0.00005403371,0.0001372845,0.00009859484],"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":[0.0001124663,0.0000675704,0.001129318,0.00002848603,0.00002386256,0.00007633034,0.00003693858,0.9953266,0.0004935256,0.00167831,0.0002361882,0.0007903197],"study_design_scores_gemma":[0.00002719806,0.00001821843,0.0002254727,0.000003593205,0.000004299109,0.000004772633,0.00002138921,0.9990074,0.000203792,0.0003339887,0.0001459112,0.000003952707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731847,0.0001636737,0.009563399,0.000651392,0.00004760473,0.00007239987,0.0009711998,0.0001957168,0.01514987],"genre_scores_gemma":[0.9886608,0.0001013338,0.007342241,0.0000996257,0.00001342079,0.0001838713,0.0006991355,0.00004450339,0.002854997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.033417,"threshold_uncertainty_score":0.06644493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678859300426756,"score_gpt":0.2769019534471325,"score_spread":0.260113360442865,"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."}}