{"id":"W2970367135","doi":"10.1016/j.chempr.2019.08.003","title":"Ti Substitution Facilitating Oxygen Oxidation in Na2/3Mg1/3Ti1/6Mn1/2O2 Cathode","year":2019,"lang":"en","type":"article","venue":"Chem","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"Basic Energy Sciences; Office of Science; Natural Science Foundation of Beijing Municipality; Beijing Municipal Science and Technology Commission; China Scholarship Council; Chinese Academy of Sciences; Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Substitution (logic); Cathode; Oxygen; Materials science; Chemistry; Chemical engineering; Engineering; Computer science; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001675271,0.0001173039,0.0001388181,0.00005699602,0.00001879361,0.00002135452,0.00009777924,0.00006338178,0.0002637333],"category_scores_gemma":[0.00004305573,0.0001309589,0.00001256342,0.00009919427,0.00001295908,0.0002710211,0.0000259908,0.00007407438,0.000683765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763976,"about_ca_system_score_gemma":0.00000884375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008435446,"about_ca_topic_score_gemma":0.000004904855,"domain_scores_codex":[0.999284,0.00001564791,0.0002287943,0.0001629876,0.0001058519,0.0002027576],"domain_scores_gemma":[0.9996912,0.0000373902,0.00003100347,0.0002011406,0.00001633802,0.00002288958],"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":[0.000004480387,0.00001027915,0.002105741,0.0001582446,0.000006610993,0.000001513967,0.0006507238,0.02124234,0.9734244,0.0002656782,0.0001289951,0.002000985],"study_design_scores_gemma":[0.0007671147,0.00002000477,0.01103626,0.0001293861,0.000007565223,0.000003995645,0.0002718304,0.005467931,0.9765126,0.0008515863,0.004507223,0.0004245205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916338,0.00007187526,0.004780916,0.00001838362,0.0006127761,0.000203519,0.000008598161,0.0001617868,0.002508284],"genre_scores_gemma":[0.9947216,0.000009337513,0.004758076,0.00003277161,0.00006117376,0.00002827359,0.00005762064,0.00002143696,0.0003097257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01577441,"threshold_uncertainty_score":0.8788644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140694744155042,"score_gpt":0.2377489289000493,"score_spread":0.2236794544845451,"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."}}