{"id":"W2913058091","doi":"10.1002/open.201900021","title":"Facile Protection of Lithium Metal for All‐Solid‐State Batteries","year":2019,"lang":"en","type":"article","venue":"ChemistryOpen","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Silane; Materials science; Lithium (medication); Polymer; Surface modification; Acrylate; Chemical engineering; Polymerization; Layer (electronics); Electrochemistry; Plating (geology); Metal; Polymer chemistry; Electrode; Composite material; Chemistry; Metallurgy","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":[0.0001197582,0.0004740802,0.0001756514,0.0001840866,0.0001904694,0.0002458556,0.0004185404,0.0002941997,0.001827969],"category_scores_gemma":[0.0001117785,0.0002136688,0.0002113547,0.0001269072,0.0001271747,0.0002680649,0.0002862072,0.0003360024,0.001006597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418998,"about_ca_system_score_gemma":0.0001478903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001397424,"about_ca_topic_score_gemma":0.0003932755,"domain_scores_codex":[0.9999148,0.000009022569,0.000007281922,0.00001482449,0.00003355846,0.00002050237],"domain_scores_gemma":[0.999951,0.000008956105,0.00001373848,0.000009404456,0.000009391568,0.000007469538],"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":[0.00002332786,0.000006307459,0.00003176674,0.00005302174,0.000003156755,0.00004933919,0.00001884462,0.00003809827,0.9975008,0.000107658,0.00007130448,0.002096331],"study_design_scores_gemma":[0.000003321767,0.00003100005,0.0001451377,0.000002213669,0.000003268566,0.00008692355,0.000004257987,0.0001950252,0.9971807,0.00002463045,0.002321315,0.000002277865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478196,0.004919631,0.03528222,0.0003432442,0.0001639863,0.0001090369,0.000542646,0.001268039,0.009551763],"genre_scores_gemma":[0.982286,0.001424378,0.009504253,0.0000747082,0.00002171644,0.0000527259,0.0003902874,0.00008878199,0.006157273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827969,"threshold_uncertainty_score":0.006115139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316004442698373,"score_gpt":0.2273379312693853,"score_spread":0.2141778868424016,"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."}}