{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244879,0.00024446,0.000207868,0.0002229644,0.0002597586,0.0003954297,0.0003986103,0.0003096192,0.001077382],"category_scores_gemma":[0.0001876846,0.0001592096,0.0001335817,0.000199779,0.0001852258,0.000295194,0.0002134442,0.000317418,0.0003448606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981071,"about_ca_system_score_gemma":0.0001584986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004683028,"about_ca_topic_score_gemma":0.001473631,"domain_scores_codex":[0.9998986,0.00001562972,0.00000937817,0.00001733058,0.00003554109,0.00002355757],"domain_scores_gemma":[0.99994,0.000009713081,0.00001353376,0.000007716822,0.00002029861,0.000008686049],"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":[0.0001045004,0.00002862266,0.0003086952,0.0001799944,0.000008164057,0.0001539471,0.00004419736,0.0002316664,0.9928129,0.0004335274,0.0002842597,0.005409437],"study_design_scores_gemma":[0.000002203805,0.00004195637,0.000395954,0.000003509929,0.00000388096,0.00005507634,0.00001166747,0.001468815,0.9968398,0.00003993129,0.001134816,0.000002282737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850235,0.002922395,0.004679396,0.0002131641,0.0001781167,0.00003723593,0.0001440444,0.0001505261,0.006651565],"genre_scores_gemma":[0.9977139,0.0002960953,0.0009332877,0.00001494572,0.000006242363,0.000003972052,0.00003562741,0.000008353125,0.0009876495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001077382,"threshold_uncertainty_score":0.003604233,"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."}}