{"id":"W4396920531","doi":"10.1016/j.synthmet.2024.117652","title":"Hybrid cobalt-nickel oxalate/electrochemically exfoliated doped graphene composite for supercapacitor applications","year":2024,"lang":"en","type":"article","venue":"Synthetic Metals","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"Institute for Nanotechnology and Water Sustainability, University of South Africa; University of South Africa","keywords":"Supercapacitor; Nickel; Cobalt; Composite number; Graphene; Oxalate; Materials science; Doping; Chemical engineering; Nanotechnology; Electrochemistry; Inorganic chemistry; Chemistry; Metallurgy; Composite material; Electrode; Optoelectronics; 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":[0.0000731094,0.0002448675,0.0001924243,0.0003384211,0.0002223171,0.0003313491,0.0003883744,0.0003678841,0.001240755],"category_scores_gemma":[0.0001043521,0.0001580019,0.0001696943,0.0003122262,0.0001198212,0.0003188623,0.0002008789,0.0002498557,0.0002644352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966119,"about_ca_system_score_gemma":0.0001307822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000616841,"about_ca_topic_score_gemma":0.002860723,"domain_scores_codex":[0.9999083,0.000004622289,0.000006485435,0.00002050549,0.00004085025,0.00001923977],"domain_scores_gemma":[0.9999529,0.000007129563,0.000006836473,0.000006240312,0.00001416331,0.00001272041],"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":[0.0000669436,0.000019176,0.0001020561,0.0001167242,0.00000787583,0.0001072031,0.00001327842,0.000266571,0.9954689,0.00020837,0.0001949548,0.003428035],"study_design_scores_gemma":[0.000005738532,0.00004783216,0.000592641,0.000003885648,0.00001187509,0.00007000643,0.00001659663,0.002118388,0.9953254,0.00003648038,0.00176433,0.000006911694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814043,0.001928228,0.00882386,0.0001846616,0.0002136534,0.00003822315,0.000480094,0.0003851598,0.006541821],"genre_scores_gemma":[0.9923893,0.000340392,0.004407777,0.00003473783,0.000008848298,0.00001216023,0.0001367697,0.00001501582,0.002654921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001240755,"threshold_uncertainty_score":0.004150748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016506790308105,"score_gpt":0.2571908614734807,"score_spread":0.2406840711653757,"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."}}