{"id":"W2317116120","doi":"10.1021/nl403943g","title":"Engineered Si Electrode Nanoarchitecture: A Scalable Postfabrication Treatment for the Production of Next-Generation Li-Ion Batteries","year":2013,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrode; Materials science; Nanoarchitectures for lithium-ion batteries; Ion; Nanotechnology; Anode; 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":[0.00007419225,0.0003148138,0.0001564593,0.0001030771,0.00009623365,0.0002177038,0.0003057821,0.000306157,0.0007294693],"category_scores_gemma":[0.0001233095,0.0001528996,0.0001632361,0.0001276108,0.0001465095,0.0002241649,0.0001462691,0.0003247565,0.0003635133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319709,"about_ca_system_score_gemma":0.0001728561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136688,"about_ca_topic_score_gemma":0.0007843729,"domain_scores_codex":[0.9999403,0.000002526508,0.000004246935,0.00001597066,0.00002633849,0.00001063077],"domain_scores_gemma":[0.9999604,0.000006667771,0.00001231901,0.000007466018,0.000008132499,0.000005012878],"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":[0.000004442891,0.000005037019,0.00004460248,0.00001748041,0.000002054355,0.0000216714,0.000006254173,0.0002541968,0.9980394,0.0001124224,0.00006504363,0.001427538],"study_design_scores_gemma":[0.000003737556,0.00007063369,0.0005775305,0.000001475942,0.000004110045,0.00007493241,0.000006320803,0.002281303,0.9951616,0.00004601073,0.001769103,0.000003176178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458575,0.001694607,0.04450644,0.0002650477,0.0001760648,0.00007085691,0.0006278505,0.000783663,0.006018084],"genre_scores_gemma":[0.9685305,0.0008617071,0.02710388,0.00008062954,0.00002410398,0.00005027353,0.0003833615,0.00006465637,0.002900867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007294693,"threshold_uncertainty_score":0.002440333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920827168809984,"score_gpt":0.2208406708621379,"score_spread":0.2016323991740381,"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."}}