{"id":"W2948039438","doi":"10.1038/s41467-019-10607-0","title":"All-polymer particulate slurry batteries","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced battery technologies research","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Particulates; Slurry; Polymer; Materials science; Environmental science; Chemistry; Composite material","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":[0.00008686393,0.000325153,0.0002374607,0.0001762894,0.0001336919,0.0004097159,0.000321961,0.0003832984,0.00155765],"category_scores_gemma":[0.0001244048,0.0001074989,0.0002009313,0.0001733356,0.0001447569,0.0005112774,0.0003644983,0.0004054445,0.0008847459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122806,"about_ca_system_score_gemma":0.000108116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123061,"about_ca_topic_score_gemma":0.0002194948,"domain_scores_codex":[0.999897,0.0000084179,0.000006606718,0.00002698562,0.00004772295,0.00001337163],"domain_scores_gemma":[0.9999621,0.000005656915,0.0000116068,0.000005493835,0.000008995023,0.000006303646],"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":[0.00006969564,0.00004962247,0.000261014,0.0002486477,0.00001229085,0.0002093249,0.00002911796,0.0005625868,0.9711553,0.001553618,0.0006889717,0.02515985],"study_design_scores_gemma":[0.00001532438,0.0002153746,0.0003830181,0.000009593888,0.00001328407,0.0002446872,0.00001320136,0.003443931,0.9821276,0.0003868991,0.01314189,0.000005218325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656531,0.005773266,0.09985629,0.0005296515,0.0004921382,0.0001163961,0.0005762954,0.001991868,0.02501101],"genre_scores_gemma":[0.9750631,0.001397243,0.01353928,0.0001310785,0.00005988062,0.00004255982,0.0003193223,0.0000470254,0.00940049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00155765,"threshold_uncertainty_score":0.005210876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164211649303341,"score_gpt":0.3094141670670172,"score_spread":0.2877720505739838,"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."}}