{"id":"W4253624040","doi":"10.1002/jnm.743","title":"Recent advances in space‐mapping‐based modeling of microwave devices","year":2010,"lang":"en","type":"article","venue":"International Journal of Numerical Modelling Electronic Networks Devices and Fields","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Háskólinn í Reykjavík","keywords":"Space mapping; Space (punctuation); Computer science; Term (time); Fuzzy logic; Microwave; Function (biology); Data mining; Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674323,0.000719341,0.000911471,0.0006838715,0.0001835202,0.001198619,0.0009183402,0.000886501,0.001374916],"category_scores_gemma":[0.001145662,0.0003493826,0.0007845026,0.001251368,0.0004988323,0.001263459,0.0006291068,0.0006528187,0.0005787498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870575,"about_ca_system_score_gemma":0.0004176184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755303,"about_ca_topic_score_gemma":0.0009445798,"domain_scores_codex":[0.9996883,0.0001146647,0.00001803119,0.0000344945,0.0001294256,0.00001512137],"domain_scores_gemma":[0.9995756,0.0002108408,0.00005967963,0.00005841252,0.00008176257,0.00001374522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002629851,0.00002070933,0.0005801147,0.0002418924,0.00004369164,0.00008005145,0.00006881222,0.883212,0.006404338,0.03555296,0.0007686173,0.07300056],"study_design_scores_gemma":[0.000003407931,0.00001721531,0.0002156412,0.00001797074,0.00001104246,0.00005313866,0.00001287856,0.9760099,0.001566233,0.01014672,0.01193242,0.00001335113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01490664,0.009557585,0.9671563,0.0005584756,0.00009453377,0.00002039825,0.00009247733,0.0003755891,0.00723803],"genre_scores_gemma":[0.6174818,0.04803458,0.3206178,0.0002466031,0.0006647035,0.0001770499,0.000443103,0.0002324545,0.01210198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001755303,"threshold_uncertainty_score":0.004599571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083809726537858,"score_gpt":0.2461426023657226,"score_spread":0.235304505100344,"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."}}