{"id":"W4410640127","doi":"10.26434/chemrxiv-2025-1jxxk","title":"Quantitative Investigation of Lithium Metal Plating via Operando 7Li NMR Spectroscopy of a Unique Three Electrode Lithium-Ion Battery","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lithium (medication); Electrode; Lithium metal; Battery (electricity); Plating (geology); Ion; Materials science; Metal; Lithium-ion battery; Lithium battery; Inorganic chemistry; Chemistry; Analytical Chemistry (journal); Anode; Physical chemistry; Metallurgy; Ionic bonding; Physics; Organic chemistry","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":[0.000151659,0.0002454217,0.0002399539,0.0002805248,0.0002232762,0.0005020794,0.0002971055,0.0003745831,0.0007222273],"category_scores_gemma":[0.0001952466,0.0001113974,0.0001505459,0.0002581102,0.0003177408,0.0003348198,0.0002250613,0.0003134559,0.0002406697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012496,"about_ca_system_score_gemma":0.0001341196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003975768,"about_ca_topic_score_gemma":0.0006745202,"domain_scores_codex":[0.9999088,0.000006038968,0.000003532658,0.00001793312,0.00004855681,0.00001509833],"domain_scores_gemma":[0.9999011,0.00002885955,0.0000144146,0.00001220956,0.0000263857,0.0000171516],"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":[0.00003972678,0.000009630646,0.0003434646,0.00001688731,0.000002597676,0.00007663593,0.00003343675,0.00006751833,0.9978088,0.00004522801,0.00001776537,0.001538292],"study_design_scores_gemma":[0.000002701819,0.00007388461,0.003681635,0.000002420112,0.000007369035,0.0001282338,0.00006053871,0.002600611,0.9928629,0.00006343447,0.0005098165,0.000006428681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992136,0.000244716,0.005916271,0.00005699079,0.00001365032,0.000012332,0.0002352219,0.0001507777,0.001234187],"genre_scores_gemma":[0.9943113,0.0003075261,0.003986376,0.00003036798,0.000008947102,0.00001424961,0.0001944136,0.00004361889,0.001103162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007222273,"threshold_uncertainty_score":0.002416074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662832247874939,"score_gpt":0.2825397205309498,"score_spread":0.2559113980522004,"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."}}