{"id":"W4313592669","doi":"10.1039/d2dt02246j","title":"Co-precipitation of Mg-doped Ni<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>(OH)<sub>2</sub>: effect of magnesium doping and washing on the battery cell performance","year":2023,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Oulun Yliopisto; Business Finland; National Research Council Canada; Canada Foundation for Innovation; University of Saskatchewan; Canadian Light Source","keywords":"Doping; Coprecipitation; Precipitation; Manganese; Magnesium; Inorganic chemistry; Materials science; Analytical Chemistry (journal); Chemistry; Metallurgy; Environmental chemistry; Physics; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001458168,0.0003295339,0.0003945216,0.0002536057,0.0002075862,0.0002765977,0.0004302492,0.0004194606,0.0008713694],"category_scores_gemma":[0.000420234,0.0001766659,0.0001835489,0.0003470982,0.0001493523,0.0002745664,0.0002906135,0.0002682247,0.0004000672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070784,"about_ca_system_score_gemma":0.0001893038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307405,"about_ca_topic_score_gemma":0.004255583,"domain_scores_codex":[0.9998216,0.00001063644,0.00002275604,0.00006790176,0.00005386548,0.00002329202],"domain_scores_gemma":[0.9998503,0.00003091595,0.00003448515,0.00001786654,0.00004975243,0.00001681083],"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":[0.00008222603,0.0000118815,0.0003283068,0.0001305501,0.000008800429,0.00007338836,0.00004374912,0.0001359966,0.9964451,0.00003367175,0.00004938738,0.002656981],"study_design_scores_gemma":[0.00000306666,0.00007063475,0.0008608423,0.000005176536,0.00001152798,0.00007162205,0.00001668042,0.0005029353,0.9972914,0.000005608525,0.001156709,0.000003673809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960241,0.001098835,0.001117413,0.00003794661,0.0000348405,0.00003378072,0.0001996514,0.0000783203,0.001375173],"genre_scores_gemma":[0.9927905,0.0006766494,0.003803361,0.00003213649,0.000009960264,0.0000390929,0.000327801,0.00005002548,0.002270498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001307405,"threshold_uncertainty_score":0.002914965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114398307741156,"score_gpt":0.2303219063682699,"score_spread":0.2191779232908583,"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."}}