{"id":"W6999237825","doi":"","title":"Carbon nanomaterials for electrochemical energy technologies: fundamentals and applications","year":2017,"lang":"en","type":"other","venue":"NPARC","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanomaterials; Electrochemical energy storage; Electrochemical energy conversion; Electrochemistry; Carbon fibers; Energy storage; Energy transformation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003031858,0.001120504,0.0006842591,0.001879322,0.0007824569,0.002753827,0.00099567,0.001324369,0.03062957],"category_scores_gemma":[0.0003799425,0.0003885549,0.0003282352,0.002805918,0.0006484814,0.002587428,0.001301784,0.002069601,0.01941505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006621372,"about_ca_system_score_gemma":0.0008247124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003574883,"about_ca_topic_score_gemma":0.001305382,"domain_scores_codex":[0.9994028,0.00003402697,0.00002249165,0.00005837541,0.0004402915,0.00004196299],"domain_scores_gemma":[0.9998754,0.00003295799,0.000008749987,0.00001581335,0.00004694529,0.00002006762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002651642,0.00008782167,0.0001002043,0.001940162,0.00001483886,0.0002119464,0.0002073131,0.0006031318,0.02199167,0.09868182,0.2710314,0.6051031],"study_design_scores_gemma":[0.000001577587,0.000009650001,0.00007219901,0.0001555419,0.000001820789,0.0001904534,0.00002794111,0.0002285441,0.003466202,0.008097103,0.9877419,0.000007065197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001736509,0.326285,0.01869319,0.003574653,0.00716009,0.0001189867,0.0004605232,0.0007294948,0.6412416],"genre_scores_gemma":[0.01743615,0.3463589,0.02549319,0.002058497,0.002773107,0.0002351047,0.0008010233,0.0004030447,0.604441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03062957,"threshold_uncertainty_score":0.1024662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217486091537357,"score_gpt":0.2433059167682987,"score_spread":0.2311310558529252,"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."}}