{"id":"W4381186201","doi":"10.11159/tann23.156","title":"Cracking the Code to Electrode-Specific Degradation: Insights from Data-Driven Approaches in ULPING Fabricated Pseudocapacitor","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Theoretical and Applied Nanoscience and Nanotechnology","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pseudocapacitor; Degradation (telecommunications); Computer science; Cracking; Code (set theory); Electrode; Materials science; Chemistry; Programming language; Capacitance; Composite material; Telecommunications; Supercapacitor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004676199,0.0002222065,0.0002545619,0.0002233586,0.0002250483,0.0004256814,0.0007261398,0.0005832833,0.001134853],"category_scores_gemma":[0.001731048,0.0001839423,0.000254114,0.0002408299,0.0005478865,0.0009168809,0.0003178059,0.0006802888,0.0002418069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004721037,"about_ca_system_score_gemma":0.0002927785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007052315,"about_ca_topic_score_gemma":0.0009753759,"domain_scores_codex":[0.9998407,0.00002015668,0.000007415781,0.0000352987,0.00007286444,0.00002356308],"domain_scores_gemma":[0.999371,0.0003087375,0.00006546675,0.0001174903,0.0001194761,0.00001773217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001794109,0.0002262232,0.004160339,0.0003571468,0.0000323711,0.0004963067,0.0003155584,0.3051843,0.529245,0.0263862,0.0009690764,0.1324481],"study_design_scores_gemma":[0.000001983175,0.00003964471,0.0007490683,0.00000504603,0.000002826925,0.00007608209,0.00002585045,0.9145678,0.08049015,0.003381689,0.0006514209,0.000008461607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4079267,0.0005439783,0.5846813,0.000431584,0.00005958759,0.00006233409,0.0001504654,0.0009353606,0.005208691],"genre_scores_gemma":[0.9544383,0.0002023702,0.04326464,0.00006962915,0.000008680082,0.0000392289,0.00008540195,0.00008855609,0.001803176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001134853,"threshold_uncertainty_score":0.003796399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933882066251667,"score_gpt":0.2521821484100837,"score_spread":0.1928433277475671,"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."}}