{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200167,0.0009943983,0.0005529796,0.001313583,0.0004376772,0.0007406009,0.001752327,0.0008673978,0.003236189],"category_scores_gemma":[0.007758997,0.0003791999,0.0005242642,0.001042587,0.000305986,0.001515664,0.0009141593,0.001320418,0.001818958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004874667,"about_ca_system_score_gemma":0.0006430611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002449149,"about_ca_topic_score_gemma":0.002386057,"domain_scores_codex":[0.9980127,0.0003175242,0.00009605355,0.000258407,0.00121717,0.00009821331],"domain_scores_gemma":[0.996402,0.001297568,0.0002236935,0.0005821149,0.001452003,0.00004264841],"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":[0.000503017,0.0001834211,0.00686358,0.001087645,0.0001170133,0.001237926,0.0004287631,0.1548795,0.2331559,0.02849875,0.01118653,0.5618579],"study_design_scores_gemma":[0.00004140482,0.0002077801,0.003909411,0.0001572913,0.00007579813,0.0009027888,0.0001155496,0.5834341,0.3663778,0.009327349,0.03532396,0.0001268473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04308023,0.0007014525,0.9451656,0.0002055881,0.0004452489,0.00007410571,0.0002003279,0.002180008,0.007947347],"genre_scores_gemma":[0.4120042,0.0007418564,0.5745568,0.0003634438,0.00005768692,0.0001028505,0.0004004354,0.001069562,0.01070317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003236189,"threshold_uncertainty_score":0.01082611,"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."}}