{"id":"W1708921877","doi":"10.1139/cjc-2013-0395","title":"Silver nanoparticle modified MoO<sub>3</sub> with enhanced electrochemical properties for a lithium-ion battery","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Education Department of Henan Province; Natural Science Foundation of Henan Province","keywords":"Nanorod; Electrochemistry; Lithium (medication); Chemistry; Nanoparticle; Hydrothermal circulation; Scanning electron microscope; Ion; Electrode; Chemical engineering; Diffraction; Silver nanoparticle; Nanotechnology; Lithium-ion battery; Analytical Chemistry (journal); Battery (electricity); Inorganic chemistry; Materials science; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007417556,0.0002714058,0.0002640351,0.0001548262,0.0001311927,0.00026382,0.0002614963,0.0003621244,0.0005889401],"category_scores_gemma":[0.0001340396,0.000163729,0.000220444,0.0001628598,0.0001145336,0.000223249,0.0001047283,0.000220936,0.0002810615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156775,"about_ca_system_score_gemma":0.00009798861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00055093,"about_ca_topic_score_gemma":0.002129002,"domain_scores_codex":[0.9999484,0.000003514803,0.00000549561,0.00000923755,0.00002234527,0.00001110584],"domain_scores_gemma":[0.9999425,0.000005982182,0.00001188521,0.000005054205,0.00002499992,0.000009519498],"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":[0.00003899893,0.000008779786,0.00008686603,0.00004028239,0.000003892708,0.00003763497,0.000005902902,0.00004840774,0.9979092,0.00002877625,0.00004435912,0.001746681],"study_design_scores_gemma":[0.000007564471,0.0001017268,0.001275329,0.00000255745,0.00001694517,0.0001603112,0.000008701714,0.001150736,0.9961759,0.00001470929,0.001080171,0.000005315448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903101,0.001132645,0.006705318,0.00008289403,0.00006870229,0.00003594719,0.0001257777,0.0002772775,0.001261319],"genre_scores_gemma":[0.9837872,0.000479281,0.01292433,0.00006948195,0.00001177023,0.00002792931,0.0001435293,0.00005587346,0.002500593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005889401,"threshold_uncertainty_score":0.001970232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282929159705374,"score_gpt":0.1792603681470472,"score_spread":0.1709774389873418,"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."}}