{"id":"W4404838195","doi":"10.1002/0471654507.erfme237","title":"Dielectric Measurement","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of RF and Microwave Engineering","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Materials science; Computer science; Environmental science","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":[0.001013056,0.001831509,0.001129936,0.002469285,0.001083798,0.00173783,0.002221553,0.00106583,0.05110616],"category_scores_gemma":[0.002910869,0.0005385895,0.0004654377,0.001883445,0.0003809458,0.001437156,0.001618151,0.00159832,0.05131795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271698,"about_ca_system_score_gemma":0.0007727417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006029136,"about_ca_topic_score_gemma":0.0007479748,"domain_scores_codex":[0.9973723,0.0001836464,0.0001235065,0.0006854681,0.001474336,0.0001607881],"domain_scores_gemma":[0.9972772,0.0002005018,0.0001367825,0.0004892276,0.001770987,0.0001252489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005427102,0.000240218,0.003524596,0.001447069,0.0000646579,0.0006195611,0.0004178434,0.0009444013,0.5107141,0.008391204,0.1282289,0.3448648],"study_design_scores_gemma":[0.00004046368,0.0003416136,0.00377376,0.0002168917,0.00007926864,0.001117952,0.000273211,0.00372453,0.5169244,0.001821225,0.4715866,0.0001000269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07100404,0.005515114,0.5237104,0.001462669,0.006313921,0.003909821,0.02785103,0.02812869,0.3321043],"genre_scores_gemma":[0.2860252,0.006520651,0.2152629,0.003412009,0.0008829826,0.00322292,0.03344813,0.00418812,0.4470371],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05110616,"threshold_uncertainty_score":0.1709671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006601988821476405,"score_gpt":0.1892334278510391,"score_spread":0.1826314390295627,"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."}}