{"id":"W2063840453","doi":"10.1002/pi.2523","title":"Silicon‐containing liquid polymer electrolytes for application in lithium ion batteries","year":2009,"lang":"en","type":"article","venue":"Polymer International","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Commerce","keywords":"Electrolyte; Materials science; Silane; Lithium (medication); Ethylene glycol; Polymer; Nanotechnology; Electrochemistry; Chemical engineering; Polymer chemistry; Chemistry; Composite material; Electrode; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002199075,0.0004045428,0.0002269726,0.000350096,0.00012736,0.0005351928,0.0002502819,0.0003840714,0.003372066],"category_scores_gemma":[0.0002318864,0.0001490505,0.000262824,0.0003690902,0.0001202733,0.0006359505,0.0002236118,0.000413169,0.001929802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258292,"about_ca_system_score_gemma":0.000238899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545008,"about_ca_topic_score_gemma":0.0003360928,"domain_scores_codex":[0.9999146,0.00001252004,0.00001028119,0.00001369745,0.00003953763,0.000009267327],"domain_scores_gemma":[0.9999256,0.0000226071,0.00001420341,0.000003365704,0.0000255745,0.000008618018],"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":[0.00008758576,0.00003305182,0.0001423126,0.001082828,0.00001992498,0.0001729234,0.00003361287,0.0005515082,0.9351873,0.001744853,0.000966696,0.05997727],"study_design_scores_gemma":[0.00002391479,0.0004578554,0.0002861351,0.0001058555,0.00003513393,0.0003163287,0.00003726576,0.001581976,0.9366049,0.0006946456,0.05984182,0.00001416336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4516783,0.3668601,0.1102299,0.001606459,0.002071801,0.000365575,0.001029494,0.001695597,0.06446277],"genre_scores_gemma":[0.7896942,0.1449311,0.03813346,0.0006213333,0.0002028805,0.0001722746,0.001022948,0.0001273382,0.02509455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003372066,"threshold_uncertainty_score":0.01128072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009896867377303603,"score_gpt":0.2631967903026519,"score_spread":0.2532999229253483,"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."}}