{"id":"W4319225575","doi":"10.1007/s12649-023-02063-1","title":"A High Yield and Cost-Effective Pathway for the Production of Iron Doped Porous Carbon Derived from Squid Pen as Supercapacitor Electrode Material","year":2023,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Carbonization; Supercapacitor; Materials science; Squid; Carbon fibers; Yield (engineering); Porosity; Nanotechnology; Fabrication; Biomass (ecology); Doping; Chemical engineering; Capacitance; Metallurgy; Electrode; Composite material; Chemistry; Optoelectronics; Fishery","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":[0.0003848806,0.0001607346,0.0002202779,0.00007437178,0.0001903519,0.0001130207,0.0000926902,0.000109228,0.00002590759],"category_scores_gemma":[0.0002174457,0.0001154005,0.00002596797,0.0001917195,0.0001069281,0.000222632,0.00004755046,0.00002923938,0.000004580581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003247903,"about_ca_system_score_gemma":0.00002966667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150888,"about_ca_topic_score_gemma":0.00005963426,"domain_scores_codex":[0.9988675,0.00009045963,0.0002698042,0.0003838385,0.0001794569,0.000208902],"domain_scores_gemma":[0.9993275,0.0001881084,0.0001266198,0.0001967823,0.0001220173,0.00003892378],"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":[0.0003809029,0.00002095324,0.0002307462,0.00006397109,0.00001389123,4.644168e-7,0.0008124441,0.000007449503,0.9967113,0.0001680801,0.00004308936,0.001546745],"study_design_scores_gemma":[0.0003523822,0.0003165944,0.005565623,0.0000359933,0.00006291141,0.000003874931,0.0006312142,0.0002581429,0.9921261,0.0004195628,0.00008414609,0.0001434219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947701,0.00006275866,0.0001895026,0.0002902132,0.002595369,0.001822108,0.0001747005,0.00008593978,0.000009281225],"genre_scores_gemma":[0.9979571,0.0001062461,0.0001253249,0.00001494894,0.001018764,0.000494488,0.0002244806,0.00002345293,0.00003526859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005334877,"threshold_uncertainty_score":0.4705895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759613636968904,"score_gpt":0.2280947388834146,"score_spread":0.2104986025137256,"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."}}