{"id":"W2005375965","doi":"10.1149/2.075206jes","title":"A Combinatorial Study of the Sn-Si-C System for Li-Ion Battery Applications","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tin; Amorphous solid; Battery (electricity); Mössbauer spectroscopy; Cyclic voltammetry; Ion; Diffraction; Work function; Materials science; Carbon fibers; Work (physics); Phase (matter); Electrode; Spectroscopy; Analytical Chemistry (journal); Chemistry; Crystallography; Electrochemistry; Physical chemistry; Thermodynamics; Metallurgy; Organic chemistry; Physics; Optics","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":[0.0001097502,0.0002918516,0.0001843541,0.0003016654,0.0002267658,0.0004831145,0.0002826559,0.0001893327,0.00168907],"category_scores_gemma":[0.0002277756,0.00008528548,0.0001269725,0.0004965914,0.0001204122,0.0002735205,0.0001444761,0.0002186718,0.0003779435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091104,"about_ca_system_score_gemma":0.0003027488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006123404,"about_ca_topic_score_gemma":0.00118083,"domain_scores_codex":[0.9999094,0.000014155,0.000006601056,0.00002026404,0.00003792683,0.00001174055],"domain_scores_gemma":[0.9999228,0.00001512798,0.00001021645,0.00000932848,0.00002573201,0.00001683971],"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":[0.0001884047,0.0001559189,0.0004846346,0.0001411199,0.00002178104,0.0001415288,0.000018583,0.003580623,0.9805998,0.0009440607,0.0001285492,0.01359508],"study_design_scores_gemma":[0.00001669442,0.0007090404,0.001014068,0.00000666565,0.00003722144,0.0003028283,0.00002106104,0.01151614,0.9815508,0.0001976251,0.004616348,0.00001148273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845161,0.001354086,0.007867265,0.00003733168,0.00001830438,0.00009288677,0.0001767934,0.00007065314,0.005866492],"genre_scores_gemma":[0.9811515,0.0009925347,0.01304427,0.00003698406,0.000008243134,0.00006393174,0.0005028875,0.0000222092,0.004177386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00168907,"threshold_uncertainty_score":0.00565052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009036899429327672,"score_gpt":0.2396409497794613,"score_spread":0.2306040503501336,"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."}}