{"id":"W4366827808","doi":"10.1002/adfm.202213931","title":"Dual Catalytic Sites of Alloying Effect Bloom CO<sub>2</sub> Catalytic Conversion for Highly Stable Li–CO<sub>2</sub> Battery","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Catalysis; Materials science; Electrochemistry; Bifunctional; Battery (electricity); Density functional theory; Chemical engineering; Nanotechnology; Carbon nanotube; Polarization (electrochemistry); Electrode; Physical chemistry; Chemistry; Computational chemistry; Organic 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":[0.00008735385,0.0004099638,0.0002472315,0.0001888895,0.0001502616,0.0002891675,0.0003030959,0.0003437269,0.0006175163],"category_scores_gemma":[0.0001600697,0.0001849025,0.0001842188,0.0000983583,0.0002198257,0.0003154035,0.000215153,0.0002620264,0.0003065314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254563,"about_ca_system_score_gemma":0.0001157662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720768,"about_ca_topic_score_gemma":0.0006797555,"domain_scores_codex":[0.9998834,0.00001538735,0.000006882633,0.00003132088,0.00004217929,0.00002069978],"domain_scores_gemma":[0.9999298,0.00001040848,0.00001703661,0.00001061006,0.00002108319,0.00001100864],"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":[0.00006456034,0.00001758632,0.000138778,0.00007402896,0.000006577691,0.00006483898,0.00001308529,0.0002425687,0.9955381,0.0003506278,0.0001230773,0.003366164],"study_design_scores_gemma":[0.000007007425,0.00009753934,0.0006066593,0.000003641893,0.00001346092,0.0001176125,0.000009473047,0.004326347,0.993079,0.00004443348,0.001688156,0.000006687985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799054,0.002410984,0.01008695,0.0001079449,0.0001042117,0.00002675345,0.00006320194,0.000296059,0.006998427],"genre_scores_gemma":[0.9948447,0.0002726148,0.003796946,0.0000213682,0.00001156408,0.000009083538,0.00003040172,0.00001874944,0.0009944593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006175163,"threshold_uncertainty_score":0.002065778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270793387855281,"score_gpt":0.2231022138014728,"score_spread":0.21039427992292,"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."}}