{"id":"W2900469313","doi":"10.1073/pnas.1809187115","title":"Elastic and Li-ion–percolating hybrid membrane stabilizes Li metal plating","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Electrolyte; Materials science; Membrane; Electrode; Electrochemistry; Metal; Plating (geology); Chemical engineering; Battery (electricity); Stripping (fiber); Composite material; Nanotechnology; Chemistry; Metallurgy","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":[0.0004373376,0.00008300656,0.0001303415,0.00009307344,0.0001457114,0.00002637621,0.0002877011,0.0000409472,0.00001327297],"category_scores_gemma":[0.0004990087,0.00005628411,0.00002192078,0.0002580616,0.0007320866,0.0004769852,0.0001220749,0.00008915531,7.381649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366107,"about_ca_system_score_gemma":0.000004541259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.361813e-7,"about_ca_topic_score_gemma":3.966707e-8,"domain_scores_codex":[0.9991454,0.000001698777,0.0002300494,0.0001386102,0.0003561185,0.0001281037],"domain_scores_gemma":[0.9996611,0.00009850597,0.0001254725,0.000005706603,0.0000948171,0.00001432346],"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":[0.000002846414,0.000004574068,0.0007726255,0.00009854125,0.000009250921,3.655578e-9,0.00009982097,0.0006580129,0.99195,0.005701513,0.00002655632,0.0006762674],"study_design_scores_gemma":[0.00007247998,0.00003730542,0.003948624,0.00009236469,0.000007192032,0.000008790173,0.0001865539,0.01520352,0.9543767,0.02593122,0.00005834717,0.00007688359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981494,0.00009668159,0.00001907243,0.0002393153,0.00004435362,0.00007980037,0.000008432047,0.00007163802,0.001291285],"genre_scores_gemma":[0.9957374,0.00002496583,0.004114757,0.00002036141,0.00008109213,0.000005111881,4.111402e-8,0.000005099805,0.00001120809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03757327,"threshold_uncertainty_score":0.2697404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269020377587524,"score_gpt":0.2636701958160282,"score_spread":0.2367681580572758,"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."}}