{"id":"W4223897792","doi":"10.1002/eem2.12406","title":"Water Evaporation Triggered Self‐Assembly of MXene on Non‐Carbonized Wood with Well‐Aligned Channels as Size‐Customizable Free‐Standing Electrode for Supercapacitors","year":2022,"lang":"en","type":"article","venue":"Energy & environment materials","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nanjing Forestry University","keywords":"Supercapacitor; Materials science; Electrode; Capacitance; Carbonization; Separator (oil production); Evaporation; Electrochemistry; Conductivity; Nanotechnology; Composite material; Current collector; Chemical engineering; Electrolyte; 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":[0.00005550851,0.0003339878,0.0001549253,0.0001595599,0.00009062377,0.000227725,0.0002322364,0.0002468755,0.0007838013],"category_scores_gemma":[0.000078162,0.0001702342,0.0001963842,0.0001418296,0.0001206487,0.0003636351,0.0001813289,0.000304312,0.0001981527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329894,"about_ca_system_score_gemma":0.0001048516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002226553,"about_ca_topic_score_gemma":0.0008740308,"domain_scores_codex":[0.9999386,0.000003730385,0.000004285506,0.00001767738,0.00001894449,0.00001672304],"domain_scores_gemma":[0.9999585,0.000007388438,0.0000113739,0.000006260131,0.000007383077,0.000009165379],"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":[0.000009669951,0.000006318769,0.00002612384,0.00001646011,0.000001864532,0.00002700775,0.000006282003,0.00007210347,0.999076,0.00004371083,0.00001930947,0.0006951356],"study_design_scores_gemma":[0.000003135379,0.00003781943,0.0005722768,0.000001230364,0.000003411461,0.00002508718,0.000007552369,0.001039568,0.9977875,0.00001348698,0.0005052356,0.000003716071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898661,0.0006359115,0.007633165,0.00003960916,0.00003652316,0.00002233216,0.000148319,0.0001385571,0.001479523],"genre_scores_gemma":[0.9900478,0.0003993394,0.006009308,0.00003106589,0.000009964961,0.0000264264,0.0001771619,0.00003529329,0.003263569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007838013,"threshold_uncertainty_score":0.002622068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006883061846027635,"score_gpt":0.195280800897517,"score_spread":0.1883977390514894,"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."}}