{"id":"W4287552846","doi":"","title":"SILICON ANODE FOR LITHIUM ION BATTERIES","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Anode; Lithium (medication); Silicon; Ion; Materials science; Engineering physics; Nanotechnology; Optoelectronics; Chemistry; Engineering; Electrode; Psychology; 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":[0.0001290615,0.0002909384,0.0003092929,0.0003360305,0.0003052724,0.0008847615,0.0002629815,0.0005228925,0.00535421],"category_scores_gemma":[0.0002042137,0.0002063619,0.0001932943,0.0003311204,0.0002448364,0.0003835362,0.0003466204,0.0003308049,0.001588702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586639,"about_ca_system_score_gemma":0.0001944546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00061617,"about_ca_topic_score_gemma":0.0007297494,"domain_scores_codex":[0.9999001,0.00001015779,0.000002315682,0.00001163614,0.00006487116,0.00001097249],"domain_scores_gemma":[0.9999419,0.00001692554,0.000004328051,0.000005482143,0.0000264295,0.000004881818],"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":[0.000970907,0.0001384966,0.002085794,0.001327806,0.00009120009,0.0007123799,0.0003187553,0.03313806,0.7188528,0.1423933,0.01455143,0.08541905],"study_design_scores_gemma":[0.00008495151,0.0006174948,0.005081014,0.0001428013,0.00007662304,0.0008127735,0.000372176,0.269356,0.5560816,0.05162367,0.1156948,0.00005603697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6754319,0.03894296,0.0887573,0.002319247,0.0008954283,0.00008853415,0.0009974807,0.001234971,0.1913323],"genre_scores_gemma":[0.9442471,0.00494642,0.006378799,0.000113553,0.0001082025,0.00002835603,0.0006401609,0.0001042254,0.04343323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00535421,"threshold_uncertainty_score":0.01791155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458509112034637,"score_gpt":0.2277288473288502,"score_spread":0.2131437562085038,"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."}}