{"id":"W2332267739","doi":"10.1149/1.3693068","title":"Cold Temperature Optimization of Supercapacitors","year":2012,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Supercapacitor; Separator (oil production); The arctic; Ranging; Materials science; Process engineering; Environmental science; Computer science; Capacitance; Engineering; Chemistry; Electrode; Thermodynamics; Telecommunications; Geology; Oceanography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002053214,0.00009441405,0.0001334916,0.0000625423,0.0001294145,0.00002929103,0.00009121304,0.0000962085,0.002799328],"category_scores_gemma":[0.00001196701,0.00008626316,0.0000537236,0.000171894,0.00006879366,0.0005674524,0.000002261363,0.00005858152,0.00007379283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003211751,"about_ca_system_score_gemma":0.00002060505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000394061,"about_ca_topic_score_gemma":0.000001955354,"domain_scores_codex":[0.9992537,0.00005711086,0.0002183764,0.0001154529,0.000157871,0.0001974454],"domain_scores_gemma":[0.999581,0.00003320499,0.00004194534,0.0001870936,0.00007735108,0.00007938425],"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":[0.000008028895,0.0001076079,0.0001797033,0.00001566159,0.000004651761,5.815993e-8,0.0006699555,0.004957972,0.9935336,0.0003628466,0.0001296372,0.0000303306],"study_design_scores_gemma":[0.0001428627,0.00002407364,0.0007294244,0.00001125518,0.00002821649,0.000005247656,0.0003048687,0.0001706103,0.9969757,0.00000757291,0.001491082,0.0001090929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606536,0.000120934,0.03612597,0.00007958501,0.002074127,0.0001393695,0.0000794252,0.00008447126,0.0006425359],"genre_scores_gemma":[0.9920868,0.00002952087,0.00743839,0.00002453421,0.0002547315,0.00002846415,0.000008981798,0.00001504488,0.0001135156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03143323,"threshold_uncertainty_score":0.9981123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403150312722157,"score_gpt":0.2241782131338301,"score_spread":0.2101467100066086,"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."}}