{"id":"W2791850786","doi":"10.1016/j.coelec.2018.02.002","title":"Si-alloy negative electrodes for Li-ion batteries","year":2018,"lang":"en","type":"article","venue":"Current Opinion in Electrochemistry","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Electrolyte; Materials science; Alloy; Graphite; Nanotechnology; Energy density; Current (fluid); Ion; Current density; Engineering physics; Metallurgy; Chemistry; Electrical engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613709,0.0004588967,0.0004079356,0.000302719,0.0001969907,0.00110062,0.0009597203,0.001503068,0.005069932],"category_scores_gemma":[0.0003534715,0.0001744034,0.0002422372,0.0002742384,0.0006799722,0.002107411,0.0004737267,0.001087191,0.002939128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606708,"about_ca_system_score_gemma":0.0003176983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002567079,"about_ca_topic_score_gemma":0.0008015212,"domain_scores_codex":[0.9998457,0.00001535729,0.00001796893,0.00003148663,0.00007441234,0.00001497401],"domain_scores_gemma":[0.9998746,0.00003784296,0.00001285893,0.000006937995,0.00005307564,0.00001475605],"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":[0.0005727825,0.0001562101,0.0004281686,0.007998658,0.00007615679,0.000737726,0.0002159733,0.0007658838,0.4481432,0.04532191,0.065143,0.4304403],"study_design_scores_gemma":[0.00007431952,0.0004488765,0.0006299291,0.0004514158,0.0001031318,0.0007795258,0.0002959116,0.001760526,0.1191332,0.01951989,0.8567719,0.00003127735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03307987,0.8769116,0.0143889,0.01691012,0.01264735,0.00007440236,0.0003576486,0.0002573888,0.04537271],"genre_scores_gemma":[0.2226508,0.7085943,0.008921085,0.004041479,0.007135121,0.00008402029,0.0006832629,0.0001055868,0.04778436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005069932,"threshold_uncertainty_score":0.01696062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387795228916239,"score_gpt":0.308820567652823,"score_spread":0.2849426153636606,"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."}}