{"id":"W2767595407","doi":"10.3390/en10111844","title":"Novel Carbon Materials in the Cathode Formulation for High Rate Rechargeable Hybrid Aqueous Batteries","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Cathode; Graphene; Battery (electricity); Materials science; Aqueous solution; Carbon nanotube; Conductivity; Carbon fibers; Chemical engineering; Porosity; Electrical conductor; Nanotechnology; Composite material; Composite number; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002271767,0.0001443422,0.0001907028,0.00004786702,0.0001648871,0.0002046407,0.0003174652,0.00005728148,0.000008829829],"category_scores_gemma":[0.00009286124,0.0001071157,0.00001654294,0.00001977934,0.00003235717,0.0002555207,0.00005253041,0.00004459883,0.000001970406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002758031,"about_ca_system_score_gemma":0.000004624501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002911058,"about_ca_topic_score_gemma":0.00008586069,"domain_scores_codex":[0.9993776,0.00001233565,0.0001906458,0.0001347265,0.00005329549,0.0002313787],"domain_scores_gemma":[0.9993923,0.00006934047,0.00007121766,0.0004432103,0.00001648358,0.000007470787],"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":[0.00002298414,0.000008429418,0.00003545845,0.00007562736,0.000009160243,0.000004189276,0.0001233099,0.01332632,0.9781806,0.00620982,0.0001576355,0.001846511],"study_design_scores_gemma":[0.0002741057,0.00002327192,0.001566947,0.00002804381,0.000006407982,0.00000552185,0.00006464693,0.0005652615,0.9840119,0.01213344,0.001162125,0.0001582566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960189,0.00008451436,0.002049327,0.0003016309,0.0008051495,0.000205882,0.00007776968,0.0002534621,0.0002033953],"genre_scores_gemma":[0.9961897,0.000115136,0.003169846,0.00003384943,0.0001245304,0.0002338574,0.00003150733,0.00002886276,0.00007274974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276105,"threshold_uncertainty_score":0.436805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167992129618913,"score_gpt":0.2391458148799877,"score_spread":0.2174658935837985,"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."}}