{"meta":{"query_hash":"399c20e362b2","filters":{"venue":"2021 CIE International Conference on Radar (Radar)"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/399c20e362b2","api":"https://metacan.xera.ac/api/v1/cohort?venue=2021+CIE+International+Conference+on+Radar+%28Radar%29"},"results":[{"id":"W4319586104","doi":"10.1109/radar53847.2021.10028403","title":"Feasibility Analysis of Retrieving Sea Ice Surface and Bottom Roughness and Thickness from Polarimetric SAR","year":2021,"lang":"en","type":"article","venue":"2021 CIE International Conference on Radar (Radar)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Geology; Sea ice; Surface roughness; Synthetic aperture radar; Sea ice thickness; Surface finish; Sea ice concentration; Inversion (geology); Remote sensing; Polarimetry; Correlation coefficient; Arctic ice pack; Geomorphology; Geodesy; Climatology; Scattering; Materials science; Optics; Computer science","score_opus":0.031049950356272282,"score_gpt":0.2680448566142393,"score_spread":0.23699490625796704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319586104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86264265,0.00020734846,0.13478176,0.000111797985,0.000012244794,0.000059634633,0.00012881166,0.00016120709,0.0018945612],"genre_scores_gemma":[0.96347123,0.00012462951,0.03568918,0.000014166747,0.000012014301,0.000018828054,0.00028413508,0.000020127001,0.00036560762],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996252,0.000102133854,0.000015665199,0.0000699075,0.00014749906,0.000039608487],"domain_scores_gemma":[0.9990736,0.0004968149,0.00006346816,0.00006615739,0.00026537786,0.000034520992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010024561,0.0004257709,0.00027515658,0.00066329737,0.00020017926,0.00062569336,0.00028951673,0.000363011,0.0005514593],"category_scores_gemma":[0.0028074526,0.00030139234,0.00039978226,0.00040355383,0.00026304362,0.0007962825,0.00030046652,0.00018023702,0.0001781498],"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":[0.0024953135,0.00024240655,0.16548035,0.000363098,0.00022504065,0.0011985063,0.00020539781,0.29084632,0.35260683,0.00374018,0.0007881945,0.1818084],"study_design_scores_gemma":[0.000054618402,0.00023575324,0.038902376,0.0000076264014,0.00007002149,0.00020750123,0.00012423571,0.9397161,0.019702524,0.000634034,0.00031866474,0.00002657262],"about_ca_topic_score_codex":0.002711169,"about_ca_topic_score_gemma":0.0017397733,"teacher_disagreement_score":0.002711169,"about_ca_system_score_codex":0.00017962592,"about_ca_system_score_gemma":0.00046676063,"threshold_uncertainty_score":0.0053907633},"labels":[],"label_agreement":null},{"id":"W4319586173","doi":"10.1109/radar53847.2021.10028320","title":"An Evaluation Method of Traffic Radar Tracking Performance in No-truth System","year":2021,"lang":"en","type":"article","venue":"2021 CIE International Conference on Radar (Radar)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Computer science; Radar; Track (disk drive); Radar tracker; Trajectory; Tracking (education); Computer vision; Artificial intelligence; Fire-control radar; Radar engineering details; Man-portable radar; Real-time computing; Track-before-detect; Radar imaging; Telecommunications","score_opus":0.04954458422209419,"score_gpt":0.3228284172678432,"score_spread":0.27328383304574905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319586173","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":[0.23499276,0.0015586468,0.7520528,0.00016530199,0.00022460475,0.00023145883,0.0003112021,0.0018073516,0.008655891],"genre_scores_gemma":[0.9350339,0.00038577226,0.06171509,0.00007709619,0.000053557356,0.00017695507,0.00047243046,0.00008426944,0.0020010453],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99647397,0.00090347766,0.00027405133,0.00070189324,0.0013486732,0.00029787055],"domain_scores_gemma":[0.9953442,0.0016010822,0.0005284435,0.0005353702,0.0018166332,0.00017421815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003532897,0.0010180896,0.00070907007,0.0018543774,0.00057582743,0.0015591675,0.00076781685,0.001138328,0.0013882417],"category_scores_gemma":[0.009783257,0.0001995502,0.00042434872,0.00096837716,0.00065703253,0.0023167722,0.00085474865,0.00045203767,0.0005014151],"study_design_candidate":"bench_or_experimental","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":[0.0022894475,0.0006859185,0.056797557,0.0011316149,0.00046701985,0.0004031121,0.0007149513,0.21289384,0.09335983,0.010619357,0.00479071,0.6158467],"study_design_scores_gemma":[0.00006690071,0.002064135,0.027310584,0.00005887027,0.0002295237,0.0006078471,0.00032539,0.90177125,0.061847053,0.002267527,0.0032980712,0.00015289284],"about_ca_topic_score_codex":0.0023018792,"about_ca_topic_score_gemma":0.001381518,"teacher_disagreement_score":0.003532897,"about_ca_system_score_codex":0.00090925954,"about_ca_system_score_gemma":0.00069243443,"threshold_uncertainty_score":0.01868397},"labels":[],"label_agreement":null},{"id":"W4319586379","doi":"10.1109/radar53847.2021.10028123","title":"Range and Velocity Estimation for Multi-symbol OFDM-based Integrated Radar and Communications Systems","year":2021,"lang":"en","type":"article","venue":"2021 CIE International Conference on Radar (Radar)","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation","keywords":"Orthogonal frequency-division multiplexing; Radar; Range (aeronautics); Computer science; SIGNAL (programming language); Algorithm; Dimension (graph theory); Mean squared error; Electronic engineering; Bit error rate; Telecommunications; Mathematics; Engineering; Statistics","score_opus":0.0687756685713908,"score_gpt":0.30241385973034285,"score_spread":0.23363819115895207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319586379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008108698,0.00031167406,0.9907727,0.000051348277,0.0000210715,0.000007129406,0.000011611767,0.00013209677,0.0005837806],"genre_scores_gemma":[0.5962783,0.0010055739,0.39792335,0.00010616334,0.000087845954,0.0000714937,0.00016630346,0.000064344174,0.0042966395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999706,0.00006964444,0.000011813247,0.00006074739,0.00012646495,0.000025398787],"domain_scores_gemma":[0.9997546,0.00008486148,0.00004434361,0.000034235974,0.00007220415,0.000009739364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030135727,0.00046929202,0.0004298556,0.000385745,0.00026462562,0.00047188162,0.00047293084,0.0005293016,0.00084488065],"category_scores_gemma":[0.0011785653,0.00024739865,0.00032691882,0.00049199635,0.0002532486,0.001161805,0.00054909853,0.00063093484,0.00044062076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016254908,0.00006812293,0.0013147737,0.00016869996,0.000047286572,0.00010551559,0.00011348696,0.4819137,0.042686813,0.015371885,0.0012491909,0.45679796],"study_design_scores_gemma":[0.0000040241894,0.000027171456,0.0002046327,0.0000052258124,0.0000046443,0.000047888232,0.00000817306,0.99495196,0.0027566121,0.0013643552,0.0006178391,0.000007432862],"about_ca_topic_score_codex":0.0020448305,"about_ca_topic_score_gemma":0.001875673,"teacher_disagreement_score":0.0020448305,"about_ca_system_score_codex":0.00029414668,"about_ca_system_score_gemma":0.0005293117,"threshold_uncertainty_score":0.004065931},"labels":[],"label_agreement":null},{"id":"W4319586840","doi":"10.1109/radar53847.2021.10028338","title":"Video SAR Image Fusion Using the Effective Reflection Coefficient","year":2021,"lang":"en","type":"article","venue":"2021 CIE International Conference on Radar (Radar)","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; McMaster University","funders":"","keywords":"Synthetic aperture radar; Optics; Image fusion; Aperture (computer memory); Reflection (computer programming); Artificial intelligence; Fusion; Reflection coefficient; Computer vision; Image (mathematics); Scattering; Image resolution; Computer science; Physics; Acoustics","score_opus":0.02525513299662382,"score_gpt":0.3173362517344256,"score_spread":0.2920811187378018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319586840","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03604627,0.00030939493,0.96110904,0.00008755854,0.000047638587,0.000028035181,0.000054290376,0.0004491509,0.0018684804],"genre_scores_gemma":[0.56380206,0.0006353124,0.4324895,0.00011349926,0.00008639874,0.000059852133,0.0003061765,0.000079057274,0.0024281288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995448,0.000078090576,0.000018816634,0.00009354654,0.00021929761,0.00004549986],"domain_scores_gemma":[0.9997638,0.000047961177,0.00004491691,0.000032483273,0.00009806751,0.000012786139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050583587,0.00062899286,0.0006026105,0.0006781966,0.00018006215,0.00063936686,0.00048609622,0.00060375343,0.0008275309],"category_scores_gemma":[0.0010142728,0.00021752865,0.00072670256,0.00060025597,0.00027271514,0.0013297139,0.00079341757,0.00048381236,0.00039531075],"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":[0.00046450234,0.00010158003,0.001363103,0.000202143,0.0001480037,0.0002350717,0.0001612733,0.1580813,0.32058707,0.012292041,0.0019361003,0.50442785],"study_design_scores_gemma":[0.000017349035,0.00013319733,0.0008989724,0.00001150769,0.000045178083,0.00022567123,0.00003081721,0.9358575,0.057872295,0.0023917733,0.0024799914,0.000035653702],"about_ca_topic_score_codex":0.0008686338,"about_ca_topic_score_gemma":0.00080707937,"teacher_disagreement_score":0.0008686338,"about_ca_system_score_codex":0.0003095802,"about_ca_system_score_gemma":0.00036024817,"threshold_uncertainty_score":0.0027683377},"labels":[],"label_agreement":null}]}