{"id":"W4224076966","doi":"10.1016/j.apsusc.2022.153424","title":"Potential anodic application of 2D h-AlC for Li and Na-ions batteries","year":2022,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Uniwersytet Warszawski; Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego UW; Institut de Cardiologie de Montréal; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Monolayer; Anode; Materials science; Battery (electricity); Open-circuit voltage; Ion; Electrochemistry; Thermal diffusivity; Lithium (medication); Adsorption; Graphite; Density functional theory; Diffusion; Chemical engineering; Nanotechnology; Analytical Chemistry (journal); Chemistry; Physical chemistry; Voltage; Composite material; Computational chemistry; Organic chemistry; Thermodynamics; Electrode; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003403591,0.00008589539,0.0001176293,0.00005102369,0.0003016085,0.00002747349,0.0002545166,0.00001398199,0.00005202897],"category_scores_gemma":[0.000006370076,0.00009613452,0.00000968221,0.0002554539,0.0002687849,0.0001293171,0.0001708231,0.00004349275,0.000003950243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004775632,"about_ca_system_score_gemma":0.00001938794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003231054,"about_ca_topic_score_gemma":3.998758e-7,"domain_scores_codex":[0.9991627,0.000005932203,0.0001700388,0.0002224029,0.0002299092,0.0002090212],"domain_scores_gemma":[0.9996549,0.00003018294,0.00004662367,0.0002116326,0.0000224992,0.00003416387],"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":[0.000008425945,0.000009154655,0.00007176577,0.00003023822,0.000002663999,8.147772e-8,0.000153839,0.1104866,0.885613,0.00175307,0.00009876164,0.001772467],"study_design_scores_gemma":[0.0009430214,0.0001254674,0.00283416,0.000008930522,0.00003587742,0.00001230221,0.001354005,0.06140753,0.9160776,0.006642871,0.00993359,0.0006246047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399035,0.00004517052,0.158711,0.0000585661,0.0003049339,0.0004308663,0.00008149869,0.00008237072,0.0003820478],"genre_scores_gemma":[0.9916919,0.000005388893,0.008026848,0.0000523458,0.00001374329,0.0001548195,0.000009299936,0.00001436724,0.00003130161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1517884,"threshold_uncertainty_score":0.3920252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008536453746822296,"score_gpt":0.2361387528199411,"score_spread":0.2276022990731188,"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."}}