{"id":"W2014361086","doi":"10.1520/jte102715","title":"Edge Correction in Calculation of Dielectric Constant","year":2010,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint-Gobain (Canada)","funders":"","keywords":"Dielectric; Enhanced Data Rates for GSM Evolution; Constant (computer programming); Materials science; Composite material; Mathematical analysis; Mathematics; Geometry; Computer science; Optoelectronics; Telecommunications","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03111896,0.00005360262,0.0001598294,0.0005941118,0.00006549897,0.00008494683,0.0001034448,0.00004842775,0.0001033171],"category_scores_gemma":[0.05389381,0.00003870417,0.00003661659,0.00100244,0.0000431528,0.0003608326,0.000009896827,0.0001696782,0.000003041825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004517108,"about_ca_system_score_gemma":0.0002609169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894841,"about_ca_topic_score_gemma":0.0001095201,"domain_scores_codex":[0.9966851,0.0003058902,0.0008658384,0.000127222,0.001931895,0.00008398241],"domain_scores_gemma":[0.9943218,0.001593511,0.001005577,0.0001096461,0.002928141,0.00004132902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005083153,0.00004726342,0.1698415,0.000002738261,0.00000419062,4.188219e-7,0.0005884193,0.005170493,0.1570405,0.00004357587,0.0008482262,0.6663619],"study_design_scores_gemma":[0.0006939527,0.0001549214,0.3315876,0.00006794827,0.0000323436,0.00002933268,0.000234308,0.6532204,0.00275254,0.01114452,0.00003458375,0.00004755675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940563,0.00009940453,0.001363804,0.0001472352,0.001907509,0.0001277314,2.090293e-7,0.000002505107,0.002295282],"genre_scores_gemma":[0.9984856,0.000002792704,0.001342386,0.000007684904,0.00009496865,0.000001185754,6.667184e-7,0.000002022221,0.00006264772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6663143,"threshold_uncertainty_score":0.9976669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3105948201466723,"score_gpt":0.4406208233767988,"score_spread":0.1300260032301265,"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."}}