{"id":"W2089120638","doi":"10.1002/adfm.200701526","title":"Thermo‐electrochemical Activation of an In–Cu Intermetallic Electrode for the Anode in Lithium Secondary Batteries","year":2008,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Intermetallic; Anode; Alloy; Lithium (medication); Electrochemistry; Phase (matter); Metal; Lithium metal; Activation energy; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012436,0.0002019954,0.0003217272,0.0001144519,0.00005099859,0.00001572635,0.0001651747,0.00008128419,0.0003826277],"category_scores_gemma":[0.00006997601,0.0001720396,0.00002779465,0.0001358534,0.00008125771,0.0005593783,0.00002853808,0.0001023721,0.000004785634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258054,"about_ca_system_score_gemma":0.00002656424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007394693,"about_ca_topic_score_gemma":0.000006484831,"domain_scores_codex":[0.9987488,0.00004829048,0.0005250427,0.0002338451,0.0001395702,0.0003044691],"domain_scores_gemma":[0.9994258,0.0002081441,0.00009611223,0.0002022154,0.00004578103,0.00002199983],"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":[0.0005485527,0.00004234214,0.00005251721,0.00007453919,0.00002213687,0.000001218701,0.0001086751,0.004212017,0.9940292,0.0002342432,0.00003594867,0.0006386118],"study_design_scores_gemma":[0.0007794584,0.0001010745,0.01161697,0.0000385739,0.000005897725,0.00001969198,0.00003571833,0.0001461807,0.9841458,0.002643214,0.0002953929,0.0001720171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890383,0.00006908015,0.009551359,0.00005912671,0.000602286,0.0004614967,0.0000514671,0.00006979227,0.00009709274],"genre_scores_gemma":[0.9970503,0.00006676224,0.001886835,0.0001605838,0.0001670372,0.0004412734,0.0001346537,0.00004798437,0.00004452475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156445,"threshold_uncertainty_score":0.7015569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361382714602036,"score_gpt":0.2308271707965516,"score_spread":0.2172133436505312,"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."}}