{"id":"W2802028303","doi":"10.1039/c8ta02339e","title":"Sulfur nanodots as MoS<sub>2</sub> antiblocking agent for stable sodium ion battery anodes","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Nanodot; Anode; Sulfur; Battery (electricity); Ion; Sodium-ion battery; Materials science; Sodium; Inorganic chemistry; Chemistry; Nanotechnology; Physics; Electrode; Metallurgy; Physical 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":[0.00007831987,0.0002536718,0.000134925,0.0001061855,0.0001184192,0.0002129724,0.0001688531,0.0002422806,0.0006492355],"category_scores_gemma":[0.00008117243,0.0001077432,0.00009750226,0.0001025612,0.0001251593,0.0002350367,0.0001392792,0.0001658098,0.0002223457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759062,"about_ca_system_score_gemma":0.0001102152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003136744,"about_ca_topic_score_gemma":0.001028719,"domain_scores_codex":[0.999956,0.000004936419,0.000004123227,0.000009822757,0.0000167205,0.000008344285],"domain_scores_gemma":[0.9999567,0.000007094166,0.000008940206,0.000003652066,0.00001540741,0.000008222449],"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":[0.00003209514,0.00000564737,0.00008170815,0.00003086088,0.000002862851,0.00002733166,0.000009459667,0.00007988635,0.9982797,0.0002356901,0.00005355613,0.001161183],"study_design_scores_gemma":[0.000004117465,0.00005105831,0.0002756504,0.000001474984,0.000004479148,0.00003439921,0.000008804632,0.0008356291,0.9975954,0.00003215463,0.001154635,0.00000213575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919516,0.001114577,0.004217056,0.00006748895,0.00005841506,0.00002369602,0.0001281915,0.0001069607,0.002332139],"genre_scores_gemma":[0.9934809,0.0005332446,0.003928187,0.00002720515,0.000006507323,0.00001190386,0.00008366496,0.00001266254,0.001915584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006492355,"threshold_uncertainty_score":0.002171934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392670527928578,"score_gpt":0.2429597165491341,"score_spread":0.2290330112698483,"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."}}