{"id":"W2336971847","doi":"10.1149/ma2014-02/6/501","title":"Nanocomposite of Iron Oxide-Reduced Graphene Oxide Applied as High-Performance Anode Materials for Lithium Ion Batteries","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graphene; Materials science; Anode; Oxide; Nanocomposite; Lithium (medication); Chemical engineering; Nanomaterials; Electrochemistry; Nanotechnology; Graphene foam; Lithium-ion battery; Graphene oxide paper; Iron oxide; Battery (electricity); Nanoparticle; Electrode; Metallurgy; Chemistry","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":[0.00009544904,0.000401669,0.0001848995,0.000495052,0.000141807,0.0002574327,0.0002578842,0.0004130936,0.000478935],"category_scores_gemma":[0.000129062,0.000184799,0.0002588195,0.0001755496,0.0001259737,0.0002944171,0.0001726573,0.0002432208,0.0001647849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109862,"about_ca_system_score_gemma":0.00009047534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281094,"about_ca_topic_score_gemma":0.001007941,"domain_scores_codex":[0.9999365,0.000005752584,0.00000523011,0.00001576714,0.00002608629,0.00001063099],"domain_scores_gemma":[0.9999489,0.000006034932,0.00001423437,0.000002649712,0.00001436975,0.00001386787],"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":[0.0000405889,0.00002642332,0.00006906875,0.00008264335,0.000005649829,0.00005522176,0.000008869266,0.0001335037,0.9980374,0.00005737025,0.00004497112,0.001438355],"study_design_scores_gemma":[0.00001009478,0.0001838043,0.000962447,0.000009621514,0.00002799942,0.00009231974,0.00001168256,0.00242927,0.994762,0.00003000724,0.001473293,0.000007406043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987301,0.003674891,0.005342813,0.0001083203,0.000104748,0.00004281514,0.0001756581,0.0002047935,0.003044863],"genre_scores_gemma":[0.9946659,0.0006885654,0.003202157,0.000026154,0.00001709421,0.00001577673,0.0001072456,0.00001999099,0.001257255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000495052,"threshold_uncertainty_score":0.001602173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008346443010702212,"score_gpt":0.2194796396810064,"score_spread":0.2111331966703042,"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."}}