{"meta":{"query_hash":"1672b77bc023","filters":{"venue":"Synthesis lectures on computational electromagnetics"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1672b77bc023","api":"https://metacan.xera.ac/api/v1/cohort?venue=Synthesis+lectures+on+computational+electromagnetics"},"results":[{"id":"W2021372279","doi":"10.2200/s00052ed1v01y200609cem011","title":"Adaptive Mesh Refinement for Time-Domain Numerical Electromagnetics","year":2006,"lang":"en","type":"article","venue":"Synthesis lectures on computational electromagnetics","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptive mesh refinement; Electromagnetics; Computer science; Computational electromagnetics; Computational science; Domain (mathematical analysis); Mathematics; Physics; Electromagnetic field; Mathematical analysis; Engineering physics","score_opus":0.0072022793363382956,"score_gpt":0.23163882749511797,"score_spread":0.22443654815877967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021372279","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015891179,0.0029380312,0.9862656,0.0003206019,0.0009609791,0.000023828596,0.000050547907,0.00040583647,0.0074454355],"genre_scores_gemma":[0.08552511,0.005537328,0.86417234,0.00031143028,0.0010220569,0.00024929506,0.0003615198,0.00074140786,0.042079534],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952114,0.00015193158,0.000028878729,0.0000462889,0.00022747395,0.000024411736],"domain_scores_gemma":[0.99911875,0.00045418873,0.00003769341,0.00015259488,0.00020592049,0.000030880426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087753776,0.0008538549,0.00091889116,0.0008598669,0.00035645952,0.00084842916,0.001087202,0.0009416524,0.006185611],"category_scores_gemma":[0.0028039988,0.00043663668,0.00072492904,0.0011837009,0.00089700514,0.0010419481,0.00088583736,0.0025374566,0.0025167803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011919224,0.000071812945,0.0002509393,0.0005199107,0.00007892917,0.00013722331,0.00018779364,0.13005742,0.021204686,0.36503503,0.036872886,0.44546413],"study_design_scores_gemma":[0.000029943696,0.000042335767,0.00028399058,0.000059397404,0.000021978152,0.000090618785,0.00001822244,0.7462222,0.005485387,0.17143016,0.07628799,0.000027846278],"about_ca_topic_score_codex":0.0010486541,"about_ca_topic_score_gemma":0.0013278547,"teacher_disagreement_score":0.006185611,"about_ca_system_score_codex":0.00041980157,"about_ca_system_score_gemma":0.0003658367,"threshold_uncertainty_score":0.020692945},"labels":[],"label_agreement":null},{"id":"W4300263328","doi":"10.1007/978-3-031-01695-0_2","title":"A Numerical Interface Between FDTD and Haar MRTD: Formulation and Applications","year":2007,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on computational electromagnetics","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Haar; Interface (matter); Haar wavelet; Mathematics; Wavelet; Computer science; Algorithm; Mathematical analysis; Physics; Optics; Wavelet transform; Discrete wavelet transform; Mechanics; Artificial intelligence","score_opus":0.01819272768014808,"score_gpt":0.2743870389667077,"score_spread":0.2561943112865596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300263328","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012850773,0.002908398,0.9648028,0.00052608334,0.0011378212,0.000033789034,0.000060243976,0.00088979956,0.028355999],"genre_scores_gemma":[0.05096205,0.004932902,0.85839003,0.00081201654,0.0012764181,0.00016917108,0.00035612078,0.0010964958,0.0820048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999524,0.00007978967,0.000029387065,0.00005740472,0.0002846219,0.00002478926],"domain_scores_gemma":[0.9995598,0.00016619758,0.000021389817,0.00007577485,0.00015277525,0.00002403234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006686625,0.00066569983,0.0007479303,0.00089211564,0.00060102425,0.0022926803,0.0012680233,0.0017078967,0.012762996],"category_scores_gemma":[0.0015777255,0.0005113466,0.0005557135,0.0010424585,0.0009948602,0.0029542795,0.0013678051,0.0024669536,0.0055127814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005421022,0.00008103439,0.0001437311,0.00029651241,0.000015269854,0.0001723392,0.00028792984,0.014053916,0.021944547,0.6476289,0.043599255,0.2717224],"study_design_scores_gemma":[0.000028341568,0.000108305125,0.00042111363,0.00023862706,0.00002735519,0.0013497024,0.00012826765,0.19076349,0.017159795,0.2449676,0.5447364,0.00007101747],"about_ca_topic_score_codex":0.00024446766,"about_ca_topic_score_gemma":0.00024982373,"teacher_disagreement_score":0.012762996,"about_ca_system_score_codex":0.0003667722,"about_ca_system_score_gemma":0.00041692788,"threshold_uncertainty_score":0.042696476},"labels":[],"label_agreement":null},{"id":"W4303005938","doi":"10.1007/978-3-031-01695-0_3","title":"Efficient Implementation of Adaptive Mesh Refinement in the Haar Wavelet-based MRTD Technique","year":2007,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on computational electromagnetics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Thresholding; Wavelet; Computer science; Haar wavelet; Finite-difference time-domain method; Algorithm; Feature (linguistics); Nonlinear system; Mathematical optimization; Wavelet transform; Artificial intelligence; Mathematics; Discrete wavelet transform; Image (mathematics)","score_opus":0.015461774895836236,"score_gpt":0.2766441929098886,"score_spread":0.2611824180140524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303005938","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030236575,0.000097649776,0.99380904,0.00004677448,0.000057250672,0.000011009334,0.00002132142,0.0003005061,0.0026326673],"genre_scores_gemma":[0.07014689,0.00026433443,0.92393297,0.00005805798,0.00003622578,0.000053651194,0.00010787004,0.00022983344,0.005170183],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997503,0.00005304738,0.00001180843,0.00001699835,0.00014985257,0.000018052819],"domain_scores_gemma":[0.99957865,0.00017483305,0.000022028233,0.00008211831,0.00012871712,0.000013681151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037379886,0.00033419096,0.0005443658,0.0003253707,0.0002344955,0.0006017909,0.0007837412,0.0005491527,0.0047373585],"category_scores_gemma":[0.0013604894,0.000236341,0.00039310273,0.00050359307,0.0002634761,0.0007191227,0.0005805912,0.0009022983,0.002150247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002228821,0.00009407427,0.00047219565,0.0002899734,0.00004737624,0.00016256637,0.00018366857,0.2595943,0.078592695,0.09841166,0.009069456,0.5528591],"study_design_scores_gemma":[0.000009685888,0.000017772887,0.00007546828,0.00000937324,0.000005467962,0.00006130971,0.000009619039,0.98269856,0.0072484105,0.0037970662,0.0060606184,0.0000065707095],"about_ca_topic_score_codex":0.0010618541,"about_ca_topic_score_gemma":0.0013562695,"teacher_disagreement_score":0.0047373585,"about_ca_system_score_codex":0.00022194143,"about_ca_system_score_gemma":0.00043240906,"threshold_uncertainty_score":0.015847981},"labels":[],"label_agreement":null}]}