{"id":"W2993113848","doi":"10.1007/s10934-019-00823-w","title":"The conversion of wood residues, using pilot-scale technologies, into porous activated biochars for supercapacitors","year":2019,"lang":"en","type":"article","venue":"Journal of Porous Materials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Cégep de l'Abitibi Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Supercapacitor; Pyrolysis; Materials science; Specific surface area; Microporous material; Mesoporous material; Chemical engineering; Capacitance; Electrolyte; Electrochemistry; Porosity; Activated carbon; Catalysis; Electrode; Adsorption; Chemistry; Composite material; 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":[0.002073762,0.0002392698,0.0006699349,0.0001788584,0.0002245556,0.0001809361,0.0006686491,0.0001927934,0.0002029553],"category_scores_gemma":[0.0002976199,0.0001582359,0.00009735057,0.0001686117,0.0002353984,0.000519796,0.0001116286,0.00009045231,0.00002497779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816957,"about_ca_system_score_gemma":0.0001403069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829818,"about_ca_topic_score_gemma":0.000004650928,"domain_scores_codex":[0.99751,0.0002051524,0.001211931,0.0002490225,0.000449764,0.0003741474],"domain_scores_gemma":[0.9974614,0.0002350316,0.001245588,0.0004574396,0.0005415078,0.00005898317],"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":[0.0009459629,0.00008411874,0.0001626844,0.0001584742,0.0000300813,0.000002485811,0.0003433852,0.000009148304,0.9975394,0.0001294542,0.0004100064,0.0001847978],"study_design_scores_gemma":[0.0009059307,0.0009094826,0.0002363256,0.0001580919,0.00005623774,0.00008867028,0.001987734,0.000003873248,0.9939962,0.0007894115,0.000680457,0.0001875835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934193,0.0003158121,0.0001185394,0.0002309208,0.005183831,0.0005668474,0.00008780137,0.00005933107,0.00001759781],"genre_scores_gemma":[0.9955494,0.0001685597,0.003831856,0.00002261294,0.0003335828,0.000009627566,0.000007773299,0.00004060483,0.0000359223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004850248,"threshold_uncertainty_score":0.6452671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016468278949657,"score_gpt":0.2515015221449708,"score_spread":0.2313368393554743,"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."}}