{"id":"W4283716916","doi":"10.1021/acs.chemmater.2c00618","title":"Unraveling the Evolution of Transition Metals during Li Alloying–Dealloying by In-Operando Magnetometry","year":2022,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada First Research Excellence Fund; Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Alloy; Anode; Materials science; Transition metal; Electrochemistry; Sputter deposition; Magnetometer; Chemical engineering; Cobalt; Metallurgy; Sputtering; Nanotechnology; Electrode; Thin film; Catalysis; Chemistry; Physical chemistry; Magnetic field","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006511947,0.000170414,0.0003924658,0.00005935838,0.00008406872,0.00001768057,0.0002795245,0.00005440278,0.00159907],"category_scores_gemma":[0.00003292421,0.0001674832,0.00003909296,0.0001797897,0.00005345636,0.0001118318,0.00009093998,0.00009564892,0.000001686168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292723,"about_ca_system_score_gemma":0.00001441626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003364792,"about_ca_topic_score_gemma":1.881834e-7,"domain_scores_codex":[0.998547,0.00007586688,0.0006982485,0.0001794751,0.0002667948,0.0002325784],"domain_scores_gemma":[0.9994839,0.00004980715,0.0001585542,0.0002614126,0.00002457711,0.00002171157],"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":[0.00006822942,0.0000263413,0.00002240238,0.0008383591,0.00003101261,0.000001808251,0.0002776008,0.04445887,0.9541966,0.000003788269,0.00005078085,0.00002416458],"study_design_scores_gemma":[0.0006767104,0.00001158128,0.0001878348,0.00006809021,0.0000240484,0.00001111146,0.0005188229,0.0001023973,0.9980898,0.00007040193,0.00008796659,0.0001511755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976944,0.0006114534,0.0005528083,0.00002911311,0.0004239875,0.0002105163,0.0002099252,0.00005885732,0.0002089679],"genre_scores_gemma":[0.9994359,0.00004832412,0.0001853658,0.00001019723,0.00005995984,0.00009137672,0.00005690315,0.00003774283,0.00007422522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04435647,"threshold_uncertainty_score":0.9993136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00557350171083438,"score_gpt":0.2022785692716532,"score_spread":0.1967050675608188,"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."}}