{"id":"W4321003453","doi":"10.1021/acsami.2c17476","title":"Salt-Induced Doping and Templating of Laser-Induced Graphene Supercapacitors","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Ontario; Ontario Centres of Excellence","keywords":"Materials science; Supercapacitor; Graphene; Polyimide; Carbonization; Nanotechnology; Capacitance; Chemical engineering; Carbon fibers; Kapton; Doping; Conductivity; Electrode; Optoelectronics; Composite material; Composite number; Layer (electronics); Scanning electron microscope","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001198442,0.0003602328,0.0006619872,0.0002503943,0.0002332462,0.0002867798,0.0003932491,0.0002063607,0.000381188],"category_scores_gemma":[0.0001036447,0.0003231172,0.00002297327,0.0003490282,0.0001471845,0.0003505147,0.0002842541,0.00008449385,0.000266885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000357432,"about_ca_system_score_gemma":0.00003301671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898907,"about_ca_topic_score_gemma":0.00001338362,"domain_scores_codex":[0.9974552,0.0001393238,0.0008838405,0.0006233148,0.0003629876,0.0005353816],"domain_scores_gemma":[0.9988368,0.000195631,0.0003142788,0.0004653434,0.00009758941,0.00009041041],"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":[0.0000900884,0.00002554718,0.00009945541,0.000184859,0.0000204327,0.000001855006,0.001433967,0.000004855239,0.9964704,0.0009382442,0.0001002097,0.0006301063],"study_design_scores_gemma":[0.0004071833,0.0001074876,0.001129413,0.0001152137,0.00002996879,0.000006923236,0.00152075,0.00000213064,0.9952826,0.001039842,0.00001619958,0.0003422431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966884,0.00002099333,0.000005226327,0.00008479291,0.00192678,0.0004610982,0.0001345726,0.0003896051,0.0002884954],"genre_scores_gemma":[0.9989727,0.00005424849,0.0003436549,0.00004605669,0.000335952,0.000125778,0.00004301634,0.00006326604,0.00001538277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002284209,"threshold_uncertainty_score":0.9999221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340992906821325,"score_gpt":0.2618578748637362,"score_spread":0.2284479457955229,"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."}}