{"id":"W4386866850","doi":"10.1149/ma2023-012510mtgabs","title":"Nanocomposite Engineering of High-Capacity Partially Ordered Cathode Materials for Li-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nanocomposite; Materials science; Cathode; Spinel; Chemical engineering; Phase (matter); Ion; Particle (ecology); Lithium (medication); Electrochemistry; Nanotechnology; Electrode; Metallurgy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008115346,0.0002350103,0.000154748,0.0002860212,0.0001342477,0.0004996567,0.0002187047,0.0003247865,0.0008874658],"category_scores_gemma":[0.0001297993,0.000219217,0.0001720898,0.000134079,0.00009533806,0.0002996303,0.0002346626,0.0003658194,0.0003566201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270652,"about_ca_system_score_gemma":0.0001346374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002633985,"about_ca_topic_score_gemma":0.00121785,"domain_scores_codex":[0.9999369,0.000004209244,0.000005486649,0.00001212981,0.00002838035,0.00001291412],"domain_scores_gemma":[0.9999437,0.000006633461,0.0000122453,0.000003179502,0.0000171463,0.00001701574],"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":[0.00001738195,0.00002440536,0.00004640462,0.00004629658,0.000003909451,0.00004742264,0.00001147562,0.0004700989,0.9973207,0.0002732344,0.00006172787,0.001676998],"study_design_scores_gemma":[0.0000248284,0.0001810631,0.001328112,0.00001473095,0.00002019528,0.000187408,0.00004280975,0.01351456,0.9784675,0.000212147,0.005990287,0.00001646748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772853,0.00137288,0.01350801,0.0001465023,0.00008839971,0.00006258347,0.0001955753,0.0003652396,0.006975403],"genre_scores_gemma":[0.9873388,0.0004992732,0.009051865,0.00003244323,0.00001449361,0.00004634205,0.000132237,0.00008212848,0.002802439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008874658,"threshold_uncertainty_score":0.002968848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047345236276694,"score_gpt":0.2395209416078992,"score_spread":0.2190474892451322,"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."}}