{"meta":{"query_hash":"fdf4d6d9be9e","filters":{"venue":"Acta Polytechnica Hungarica"},"cohort_total":18,"direct_labels_cover":0,"predictions_cover":18,"exported":18,"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/fdf4d6d9be9e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Acta+Polytechnica+Hungarica"},"results":[{"id":"W2549141920","doi":"10.12700/aph.12.1.2015.1.9","title":"Constrained Data-Driven Model-Free ILC-based Reference Input Tuning Algorithm","year":2014,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"European Social Fund; Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Autoritatea Natională pentru Cercetare Stiintifică","keywords":"Iterative learning control; Computer science; Control theory (sociology); Curse of dimensionality; Trajectory; Iterative method; Algorithm; Process (computing); Artificial intelligence; Control (management)","score_opus":0.023839861854417502,"score_gpt":0.24145065376176927,"score_spread":0.21761079190735177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549141920","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":[0.0035602357,0.000068006404,0.9944788,0.000034299796,0.000012605992,0.000029599109,0.0000120257055,0.0005212822,0.0012831715],"genre_scores_gemma":[0.65543294,0.00009427221,0.3407159,0.00016413291,0.000027398173,0.00039727578,0.00019149449,0.00020119404,0.002775272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992717,0.00014968602,0.00004604781,0.00016285588,0.00029440524,0.00007532301],"domain_scores_gemma":[0.9987519,0.00045338873,0.00014671405,0.00016382252,0.00044833528,0.00003587173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012902576,0.00081351347,0.0011743584,0.00052881346,0.00048160428,0.0009801128,0.001841318,0.0010947145,0.0020356441],"category_scores_gemma":[0.0028736645,0.0005390047,0.0005594389,0.0005041362,0.00075499143,0.00074416865,0.0012595748,0.0012573051,0.00072083634],"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":[0.00010089145,0.000054038694,0.00039218742,0.00011460324,0.000038976024,0.000050638067,0.00010709309,0.87549174,0.0054605915,0.006436441,0.0009486306,0.110804155],"study_design_scores_gemma":[0.0000071350714,0.0000215996,0.000049246784,0.0000045683487,0.0000028535235,0.000009521784,0.0000024070475,0.9980578,0.00096394686,0.0005681383,0.00030834856,0.000004399984],"about_ca_topic_score_codex":0.004689655,"about_ca_topic_score_gemma":0.0028189044,"teacher_disagreement_score":0.004689655,"about_ca_system_score_codex":0.00076390826,"about_ca_system_score_gemma":0.0013496643,"threshold_uncertainty_score":0.009324729},"labels":[],"label_agreement":null},{"id":"W2613066522","doi":"10.12700/aph.13.4.2016.4.3","title":"Breast Tumor Computer-aided Diagnosis using Self-Validating Cerebellar Model Neural Networks","year":2016,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Xiamen University; National Science Council; National Natural Science Foundation of China","keywords":"Artificial neural network; Computer science; Artificial intelligence","score_opus":0.01850795242244857,"score_gpt":0.24325450183742567,"score_spread":0.2247465494149771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613066522","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":[0.19291845,0.00050683063,0.80124164,0.00015230637,0.00007928649,0.00010258155,0.00005415373,0.0018513883,0.003093374],"genre_scores_gemma":[0.96316814,0.00008426095,0.03573296,0.000031982887,0.000007924401,0.00005600349,0.00005119973,0.000014576372,0.00085293344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973565,0.00007934471,0.000020063624,0.0000630399,0.000074610216,0.000027337528],"domain_scores_gemma":[0.99896955,0.00048345138,0.00012891501,0.00009475006,0.0003011274,0.000022076392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008862578,0.00038882968,0.00038060718,0.00039182042,0.00029017855,0.0006402239,0.00062168017,0.0006044138,0.000719218],"category_scores_gemma":[0.002708257,0.00019917228,0.0003453309,0.00021137887,0.00029801897,0.00043273583,0.00046024754,0.00038755962,0.00017776378],"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":[0.00032837983,0.00015703423,0.0044762865,0.000093729104,0.00007817644,0.00016195986,0.00011811295,0.7031793,0.013103031,0.0015407265,0.0006697862,0.27609333],"study_design_scores_gemma":[0.0000052844334,0.00003663397,0.00044455726,0.0000041271155,0.000008391636,0.000018733943,0.00000412087,0.99761707,0.0015499904,0.00019918467,0.00010750824,0.000004490781],"about_ca_topic_score_codex":0.0070357136,"about_ca_topic_score_gemma":0.0055297106,"teacher_disagreement_score":0.0070357136,"about_ca_system_score_codex":0.00048922346,"about_ca_system_score_gemma":0.0005503957,"threshold_uncertainty_score":0.013989508},"labels":[],"label_agreement":null},{"id":"W2999942356","doi":"10.12700/aph.16.10.2019.10.10","title":"Design of a Composite State Convergence Controller for a Nonlinear Telerobotic System","year":2019,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convergence (economics); Nonlinear system; Control theory (sociology); Controller (irrigation); Control engineering; Composite number; Computer science; State (computer science); Engineering; Artificial intelligence; Control (management); Algorithm; Physics","score_opus":0.011590903950495213,"score_gpt":0.20874445485257057,"score_spread":0.19715355090207534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999942356","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":[0.0142383445,0.000084972686,0.983117,0.00006821147,0.000051696945,0.000067624394,0.000012564539,0.00035587305,0.0020037536],"genre_scores_gemma":[0.8485194,0.00014555552,0.14722954,0.00007279688,0.000046824654,0.00036318053,0.000057602563,0.00003676768,0.0035282823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953985,0.00007374087,0.000027414066,0.00013026313,0.00018931279,0.00003939754],"domain_scores_gemma":[0.99954176,0.00010630683,0.00007422694,0.000046683712,0.00020332953,0.000027790064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006651468,0.0006274691,0.00062060123,0.00036548512,0.00056632404,0.00072678906,0.0009742898,0.0007638755,0.0017715725],"category_scores_gemma":[0.00093111413,0.00026815975,0.00037347293,0.00018540349,0.00066977675,0.00057273597,0.0009681572,0.0010231097,0.00037790262],"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":[0.00048030785,0.0001767734,0.0010144861,0.00050817436,0.00012661699,0.00039694726,0.00067016936,0.6765064,0.110887416,0.024577843,0.002294041,0.18236087],"study_design_scores_gemma":[0.000031285363,0.00015601874,0.00019821877,0.000010924731,0.000010810675,0.00004392459,0.000015771315,0.9912231,0.006035884,0.00068415975,0.0015782134,0.000011763651],"about_ca_topic_score_codex":0.002382602,"about_ca_topic_score_gemma":0.0016123464,"teacher_disagreement_score":0.002382602,"about_ca_system_score_codex":0.00042743172,"about_ca_system_score_gemma":0.0009519531,"threshold_uncertainty_score":0.00592649},"labels":[],"label_agreement":null},{"id":"W3169061343","doi":"10.12700/aph.18.5.2021.5.3","title":"Robotics and Intelligent Systems Against a Pandemic","year":2021,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":115,"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 New Brunswick; General Motors (Canada)","funders":"Emberi Eroforrások Minisztériuma; Magyar Tudományos Akadémia","keywords":"Robotics; Artificial intelligence; Pandemic; Computer science; Coronavirus disease 2019 (COVID-19); Engineering; Robot; Medicine; Infectious disease (medical specialty)","score_opus":0.0367094453038945,"score_gpt":0.308281143179252,"score_spread":0.2715716978753575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169061343","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023411727,0.060800765,0.30755448,0.18775207,0.00714288,0.00024488757,0.00020543448,0.0019181335,0.41096956],"genre_scores_gemma":[0.72572315,0.047083106,0.12909539,0.019611236,0.005626864,0.00045677743,0.000243925,0.00022655919,0.071932934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867505,0.00057303667,0.00008287537,0.00020303526,0.00034691693,0.00011906746],"domain_scores_gemma":[0.9986939,0.00059683964,0.00015823623,0.00017537584,0.00023010242,0.00014554428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023416013,0.00077150605,0.00043490567,0.0009358493,0.00139629,0.0038356087,0.0007124959,0.0034458763,0.007894501],"category_scores_gemma":[0.003453435,0.00019847733,0.00047689714,0.00036470252,0.0045782146,0.003747535,0.004617865,0.0024650677,0.002187632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008268198,0.00008040714,0.0012459689,0.00057882676,0.00011941867,0.00043012595,0.0013601872,0.012792749,0.004717403,0.7193491,0.035665486,0.22357765],"study_design_scores_gemma":[0.000053207877,0.00027515192,0.0010764388,0.0007607901,0.00005573506,0.00053159747,0.0011638424,0.016720481,0.0022396795,0.57859933,0.3984619,0.0000619052],"about_ca_topic_score_codex":0.001040947,"about_ca_topic_score_gemma":0.00063859654,"teacher_disagreement_score":0.007894501,"about_ca_system_score_codex":0.0012413693,"about_ca_system_score_gemma":0.0015477984,"threshold_uncertainty_score":0.026409686},"labels":[],"label_agreement":null},{"id":"W4205812471","doi":"10.12700/aph.16.8.2019.8.7","title":"Needle Navigation and Catheter Reconstruction for Breast Brachytherapy Using Open Source Software","year":2019,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; Southeastern Ontario Academic Medical Organization; National Institutes of Health; Canarie","keywords":"Brachytherapy; Open source; Open source software; Computer science; Software; Catheter; Medical physics; Radiology; Medicine; Radiation therapy; Operating system","score_opus":0.012452508568753153,"score_gpt":0.26913832517011055,"score_spread":0.2566858166013574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205812471","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":[0.024203623,0.00018235281,0.9530213,0.00008504247,0.00006961156,0.00011211548,0.00017072906,0.019962057,0.0021931175],"genre_scores_gemma":[0.2968028,0.00021022541,0.6913116,0.00009866316,0.000056985595,0.00035289634,0.00063052797,0.00587555,0.004660769],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933785,0.00014826153,0.000081336126,0.00011535745,0.0002801269,0.00003706358],"domain_scores_gemma":[0.997511,0.0014883548,0.0002149435,0.0003528031,0.00036332928,0.00006955047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838045,0.00048994494,0.00034631352,0.0009700209,0.00019875134,0.00080962665,0.0009707744,0.0005870143,0.010315975],"category_scores_gemma":[0.0052547,0.00045906755,0.0005672162,0.0004576591,0.00026398074,0.00055892486,0.00092429004,0.0006873368,0.0019192448],"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":[0.0010382516,0.00027806853,0.0067155687,0.00028802347,0.00011708747,0.0005957244,0.0005613278,0.022325596,0.061797418,0.004942283,0.0077713886,0.89356923],"study_design_scores_gemma":[0.0004306169,0.0006785861,0.024596382,0.00020295716,0.00014354054,0.004449466,0.00018239868,0.6323479,0.22790137,0.0098489,0.09893401,0.00028395618],"about_ca_topic_score_codex":0.00068914704,"about_ca_topic_score_gemma":0.0008337414,"teacher_disagreement_score":0.010315975,"about_ca_system_score_codex":0.00036882987,"about_ca_system_score_gemma":0.0005610751,"threshold_uncertainty_score":0.034510434},"labels":[],"label_agreement":null},{"id":"W4214595315","doi":"10.12700/aph.10.01.2013.1.1.","title":"Experiment-based Performance Improvement of State Feedback Control Systems for Single Input Processes","year":2013,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Autoritatea Natională pentru Cercetare Stiintifică","keywords":"State (computer science); Computer science; Control (management); Control theory (sociology); Feedback control; Control engineering; Engineering; Artificial intelligence; Algorithm","score_opus":0.007391260955115497,"score_gpt":0.19813117676356107,"score_spread":0.19073991580844557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214595315","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":[0.3161771,0.00063198246,0.676708,0.00012983667,0.0001241356,0.00015805605,0.00007096255,0.0016998543,0.0043001273],"genre_scores_gemma":[0.9654011,0.00007510187,0.034007806,0.000014191685,0.000009011729,0.00006105139,0.00004056062,0.000027718508,0.00036344782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988977,0.00036451037,0.00008530638,0.00016925509,0.00039605092,0.00008720527],"domain_scores_gemma":[0.99780124,0.0012771598,0.0002182834,0.0003061178,0.0003590414,0.000038239505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019337337,0.0005995593,0.0006067883,0.0003738539,0.00032049316,0.0006180386,0.0004728659,0.0006225102,0.0011641536],"category_scores_gemma":[0.0034412097,0.00017270375,0.0003866004,0.00020439463,0.00046858127,0.0005153332,0.0006105606,0.0005520812,0.0001677978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012658244,0.00077274133,0.0021166108,0.0010960598,0.00014495348,0.00014942164,0.0003548806,0.31855994,0.47152102,0.0024493511,0.00063381164,0.20093529],"study_design_scores_gemma":[0.00006857874,0.002693129,0.0057162885,0.000025768732,0.0000519519,0.00012329032,0.00005452572,0.7101879,0.27886888,0.0008435611,0.0012972052,0.00006884636],"about_ca_topic_score_codex":0.00052143546,"about_ca_topic_score_gemma":0.00040437063,"teacher_disagreement_score":0.0019337337,"about_ca_system_score_codex":0.0002585669,"about_ca_system_score_gemma":0.00025486958,"threshold_uncertainty_score":0.0102267265},"labels":[],"label_agreement":null},{"id":"W4214724932","doi":"10.12700/aph.12.8.2015.8.4","title":"Fatigue Failure Analysis for Bolt-Nut Connections having Slight Pitch","year":2015,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Savaria (Canada)","funders":"Universiteit Gent","keywords":"Nut; Structural engineering; Fatigue testing; Forensic engineering; Engineering","score_opus":0.03787728945434171,"score_gpt":0.2840531064549853,"score_spread":0.24617581700064362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214724932","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":[0.966785,0.0005430668,0.03170735,0.0000152212315,0.000019259505,0.000034247216,0.00015427328,0.00015363446,0.00058795564],"genre_scores_gemma":[0.9940738,0.00013763832,0.0051419917,0.0000035458631,0.0000046372015,0.000021725435,0.00012543685,0.000017106062,0.00047412707],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970514,0.000027546974,0.000021946345,0.00007782941,0.00013588845,0.000031653562],"domain_scores_gemma":[0.9990884,0.00030735778,0.00017963517,0.000118599855,0.0002729367,0.00003310378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053438003,0.000529641,0.00038047257,0.00066705124,0.00026436435,0.00018989586,0.00050606014,0.00060750794,0.0024502187],"category_scores_gemma":[0.0012840732,0.0002290889,0.0004271271,0.00023332197,0.00028758304,0.0005139163,0.0002006086,0.00023952102,0.00037841112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005098149,0.00009079874,0.01364683,0.0003594905,0.00006346625,0.0006015432,0.00040518833,0.028607514,0.927547,0.00033250148,0.0002083695,0.02762742],"study_design_scores_gemma":[0.000047560698,0.0058579,0.19710295,0.000091219015,0.00018460465,0.002159537,0.00046449035,0.26810908,0.52135885,0.00047058205,0.0040186564,0.00013461409],"about_ca_topic_score_codex":0.0005350584,"about_ca_topic_score_gemma":0.0009798935,"teacher_disagreement_score":0.0024502187,"about_ca_system_score_codex":0.00019365786,"about_ca_system_score_gemma":0.00013689883,"threshold_uncertainty_score":0.008196831},"labels":[],"label_agreement":null},{"id":"W4235134116","doi":"10.12700/aph.13.1.2016.1.7","title":"Data-driven Model-Free Adaptive Control Tuned by Virtual Reference","year":2016,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Autoritatea Natională pentru Cercetare Stiintifică; National Authority for Scientific Research and Innovation","keywords":"Computer science; Control (management); Reference model; Adaptive control; Control engineering; Data mining; Engineering; Artificial intelligence; Software engineering","score_opus":0.02010445726115705,"score_gpt":0.2260438791166775,"score_spread":0.20593942185552044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235134116","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":[0.007118676,0.00006855705,0.99081904,0.000027298678,0.00002125484,0.00001304426,0.0000094922,0.0004000406,0.0015226373],"genre_scores_gemma":[0.8448295,0.00009532902,0.15157564,0.00007849977,0.00003233826,0.000106048436,0.00006264315,0.00010066648,0.0031191926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996319,0.00006902081,0.000018166733,0.000078539546,0.00017363996,0.000028773773],"domain_scores_gemma":[0.99958867,0.00016028206,0.00005629827,0.00007925817,0.000103705795,0.000011832582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046304608,0.0005080824,0.000521682,0.00026387707,0.00027939762,0.00071711105,0.00097569806,0.0004630668,0.001203149],"category_scores_gemma":[0.0012870309,0.0002402962,0.00039272048,0.00021441496,0.00047824119,0.0005651432,0.000596602,0.0005976523,0.0003906061],"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":[0.00023103124,0.00006377867,0.0005055551,0.00015665907,0.000060807444,0.00006728896,0.0001636945,0.7301155,0.036426567,0.017848058,0.0011646771,0.21319641],"study_design_scores_gemma":[0.000010937909,0.000053755368,0.00011581201,0.0000056214576,0.000005723585,0.000025803449,0.0000039445663,0.99322635,0.003936065,0.0012235832,0.0013821593,0.000010255557],"about_ca_topic_score_codex":0.0024618756,"about_ca_topic_score_gemma":0.0018897913,"teacher_disagreement_score":0.0024618756,"about_ca_system_score_codex":0.00031907216,"about_ca_system_score_gemma":0.0004059745,"threshold_uncertainty_score":0.0048950315},"labels":[],"label_agreement":null},{"id":"W4253834589","doi":"10.12700/aph.16.4.2019.4.11","title":"A Hybrid Time Series Forecasting Model for Disturbance Storm Time Index using a Competitive Brain Emotional Neural Network and Neo-Fuzzy Neurons","year":2019,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Index (typography); Series (stratigraphy); Time series; Computer science; Artificial neural network; Fuzzy logic; Storm; Artificial intelligence; Machine learning; Meteorology; Geography; Geology","score_opus":0.01631635733322601,"score_gpt":0.21820349800521002,"score_spread":0.20188714067198402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253834589","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":[0.18987215,0.00079522765,0.7991786,0.00036338746,0.0001488484,0.000096159856,0.0001872071,0.0005280018,0.008830401],"genre_scores_gemma":[0.959285,0.00021301914,0.03625877,0.00005979727,0.000026489468,0.000113073635,0.00010564781,0.00001328934,0.003924792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998832,0.000019691906,0.000007777548,0.00003742523,0.000031079708,0.000020825511],"domain_scores_gemma":[0.99987364,0.000038915787,0.00001562333,0.000004042989,0.000059796457,0.000007905197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043626784,0.00047079296,0.00042923997,0.0002935575,0.0002689791,0.0005612182,0.0008988043,0.0006643039,0.0009370315],"category_scores_gemma":[0.00050881784,0.0001787305,0.00041802405,0.00028996947,0.00018847316,0.00043539391,0.00030698263,0.00047129096,0.00016907525],"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":[0.000080122554,0.000056007146,0.0012129509,0.000039006776,0.00004418104,0.00008153438,0.00004582012,0.9523614,0.00287097,0.0018653496,0.00051724917,0.040825292],"study_design_scores_gemma":[0.0000016124652,0.000009184032,0.00010472378,0.0000011733988,0.000004212137,0.0000043799173,0.000001746566,0.99955124,0.00013944627,0.00012185999,0.00005865761,0.0000017119645],"about_ca_topic_score_codex":0.017743437,"about_ca_topic_score_gemma":0.0134291835,"teacher_disagreement_score":0.017743437,"about_ca_system_score_codex":0.0005589483,"about_ca_system_score_gemma":0.00057743146,"threshold_uncertainty_score":0.035280347},"labels":[],"label_agreement":null},{"id":"W4366961276","doi":"10.12700/aph.15.7.2018.7.7","title":"Fuzzy Logic-based Maximum Power Point Tracking for a Solar Electric Vehicle","year":2018,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Université du Québec à Chicoutimi","keywords":"Fuzzy logic; Electric vehicle; Tracking (education); Maximum power point tracking; Maximum power principle; Computer science; Point (geometry); Solar power; Power (physics); Mathematics; Photovoltaic system; Engineering; Artificial intelligence; Electrical engineering; Physics","score_opus":0.019395469507010953,"score_gpt":0.27276395045238583,"score_spread":0.2533684809453749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366961276","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":[0.04868504,0.00029982478,0.944503,0.00012187505,0.000049650625,0.000075354554,0.000030190657,0.0003046692,0.0059303604],"genre_scores_gemma":[0.9163625,0.00017974607,0.07979746,0.00005641357,0.000015331107,0.000079746096,0.000036953832,0.0000106884145,0.0034610752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998672,0.000023158947,0.000007869244,0.0000316179,0.00005349325,0.000016667087],"domain_scores_gemma":[0.99983907,0.0000718318,0.000018948716,0.0000068895183,0.000055410415,0.0000077734385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675342,0.00029376833,0.0003397723,0.00024533604,0.0003651094,0.0006356815,0.00051731634,0.0006349125,0.0015148476],"category_scores_gemma":[0.00068422646,0.00018770003,0.00038685495,0.00023607345,0.0002350661,0.00032475704,0.00017960228,0.0004799805,0.00025654692],"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":[0.00017319448,0.0000874692,0.00064722274,0.00012790086,0.00004219951,0.00014745633,0.00009930396,0.8603039,0.0213561,0.0052548177,0.00052479265,0.11123561],"study_design_scores_gemma":[0.000007981304,0.00004929584,0.00011996089,0.000006449781,0.0000077817685,0.00001387806,0.000007454677,0.9969799,0.0019386295,0.0005217569,0.00034301393,0.000003836772],"about_ca_topic_score_codex":0.008701565,"about_ca_topic_score_gemma":0.006749147,"teacher_disagreement_score":0.008701565,"about_ca_system_score_codex":0.0005963325,"about_ca_system_score_gemma":0.0006022373,"threshold_uncertainty_score":0.017301857},"labels":[],"label_agreement":null},{"id":"W4366965551","doi":"10.12700/aph.15.8.2018.8.3","title":"Design of a Single-Master/Multi-Slave Nonlinear Teleoperation System through State Convergence with Time Varying Delays","year":2018,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Teleoperation and Haptic Systems","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":"Dalhousie University","funders":"","keywords":"Teleoperation; Convergence (economics); Nonlinear system; State (computer science); Master/slave; Control theory (sociology); Computer science; Control engineering; Engineering; Algorithm; Artificial intelligence; Control (management); Physics","score_opus":0.031061710372559944,"score_gpt":0.2238750157020311,"score_spread":0.19281330532947116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366965551","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":[0.023348833,0.00014574591,0.9721337,0.000107368374,0.000039409366,0.00007917828,0.000017995426,0.00021936573,0.003908391],"genre_scores_gemma":[0.9064873,0.00023030065,0.08741849,0.000043515796,0.000024620966,0.0002959825,0.0000363833,0.000017933191,0.0054454543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973685,0.00004970027,0.000019550433,0.000085346044,0.000080062644,0.000028417866],"domain_scores_gemma":[0.9998228,0.00003791433,0.00004224864,0.000017664855,0.00006434817,0.000015144825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041428648,0.00050983176,0.00051074306,0.0001618764,0.0004147573,0.00063301774,0.00071239035,0.0006521701,0.001491307],"category_scores_gemma":[0.0004099661,0.0002395372,0.000388642,0.00014297914,0.00047148505,0.0004894291,0.0008838649,0.0006131784,0.0003587284],"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":[0.0002859885,0.00009958243,0.0010330467,0.0004667154,0.00008525888,0.0005534362,0.000658664,0.7730758,0.099261686,0.027494332,0.0008983974,0.096087016],"study_design_scores_gemma":[0.000027971755,0.00020217737,0.00022012318,0.000016137772,0.0000144183705,0.000074523865,0.000026620699,0.98999643,0.00637999,0.0012610216,0.0017690203,0.000011462508],"about_ca_topic_score_codex":0.0017660367,"about_ca_topic_score_gemma":0.00132213,"teacher_disagreement_score":0.0017660367,"about_ca_system_score_codex":0.00039145656,"about_ca_system_score_gemma":0.0008399476,"threshold_uncertainty_score":0.004988909},"labels":[],"label_agreement":null},{"id":"W4367024649","doi":"10.12700/aph.15.4.2018.4.1","title":"State Convergence-based Control of a Multi-Master-Single-Slave Non-linear Teleoperation System","year":2018,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Master/slave; Convergence (economics); State (computer science); Computer science; Control theory (sociology); Control (management); Control engineering; Engineering; Artificial intelligence; Algorithm; Operating system","score_opus":0.020597903440449247,"score_gpt":0.22506553303440274,"score_spread":0.20446762959395348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367024649","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":[0.04246352,0.000093567476,0.95334095,0.00010624011,0.00006148073,0.00004721472,0.0000113409715,0.00026958936,0.0036060289],"genre_scores_gemma":[0.9633928,0.000075288415,0.03329812,0.000030966567,0.000024975743,0.00011150914,0.000017339156,0.000014913256,0.0030340916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996208,0.000088040884,0.000025042047,0.000094223135,0.00013933805,0.000032589516],"domain_scores_gemma":[0.9996057,0.000100672514,0.00007957945,0.000046293968,0.00014064497,0.000027108721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007308575,0.0004251611,0.00045880725,0.00018627211,0.00042790544,0.0005882745,0.00072825793,0.0004263505,0.0013307717],"category_scores_gemma":[0.00075000734,0.00016574803,0.0003031959,0.00013813034,0.0005926278,0.0005063933,0.0011134471,0.0006477522,0.00024171558],"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":[0.000422264,0.00016346032,0.0010341045,0.00037245234,0.0000819335,0.00041990235,0.0008071319,0.70974797,0.122444086,0.02743319,0.0013774162,0.13569611],"study_design_scores_gemma":[0.000018526538,0.00018658004,0.00027245143,0.00000886748,0.0000072667017,0.00004046826,0.000012255423,0.99196035,0.005831236,0.0009259639,0.00072774175,0.000008260531],"about_ca_topic_score_codex":0.0011267113,"about_ca_topic_score_gemma":0.0009897273,"teacher_disagreement_score":0.0013307717,"about_ca_system_score_codex":0.00029841927,"about_ca_system_score_gemma":0.0004770133,"threshold_uncertainty_score":0.004451871},"labels":[],"label_agreement":null},{"id":"W4367029570","doi":"10.12700/aph.14.8.2017.8.2","title":"Internet-based Bilateral Teleoperation Using a Revised Time-Domain Passivity Controller","year":2017,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Emberi Eroforrások Minisztériuma; Autoritatea Natională pentru Cercetare Stiintifică; Austrian Center for Medical Innovation and Technology; Hungarian Scientific Research Fund; European Commission","keywords":"Teleoperation; Passivity; Controller (irrigation); Computer science; The Internet; Domain (mathematical analysis); Control theory (sociology); Time domain; Real-time computing; Control engineering; Simulation; Engineering; Control (management); Artificial intelligence; Computer vision; Mathematics; Operating system; Electrical engineering","score_opus":0.02130073091633485,"score_gpt":0.2409922183023953,"score_spread":0.21969148738606045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367029570","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":[0.027671788,0.00014538855,0.967952,0.00006336068,0.00006017467,0.00004994292,0.000009326949,0.0006205508,0.0034273944],"genre_scores_gemma":[0.86778647,0.00018383408,0.1275323,0.00006890834,0.000055513057,0.00012896137,0.000034520195,0.00004768773,0.004161701],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997514,0.000037436934,0.000016765585,0.00006500134,0.000107038664,0.000022386339],"domain_scores_gemma":[0.999821,0.000053844753,0.000032253487,0.000025884541,0.000055511864,0.000011488672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029269702,0.00044888907,0.00038679648,0.00029042212,0.0002803852,0.0005507079,0.00058741984,0.0005334241,0.0018077191],"category_scores_gemma":[0.0004971988,0.00013506383,0.00037702406,0.00013439836,0.00035857217,0.0005352632,0.00044303195,0.00050383573,0.00030887383],"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":[0.0004866919,0.0002812384,0.0012449299,0.0003517308,0.00014061377,0.00083587895,0.00050392625,0.19612615,0.40786535,0.024318103,0.0015139567,0.36633143],"study_design_scores_gemma":[0.0001214581,0.0006467923,0.0010036314,0.000024711388,0.000081234895,0.0006044028,0.000035644684,0.92693675,0.060205154,0.0027383512,0.0075475634,0.000054292548],"about_ca_topic_score_codex":0.0007779488,"about_ca_topic_score_gemma":0.000661438,"teacher_disagreement_score":0.0018077191,"about_ca_system_score_codex":0.00020442912,"about_ca_system_score_gemma":0.00030766884,"threshold_uncertainty_score":0.0060474277},"labels":[],"label_agreement":null},{"id":"W4367030126","doi":"10.12700/aph.14.8.2017.8.1","title":"Fuzzy Model-based Design of a Transparent Controller for a Time Delayed Bilateral Teleoperation System Through State Convergence","year":2017,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Teleoperation; Convergence (economics); Fuzzy logic; Controller (irrigation); State (computer science); Computer science; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Control (management); Algorithm; Economics","score_opus":0.03274956279856586,"score_gpt":0.2559437668117474,"score_spread":0.22319420401318155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367030126","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":[0.013017903,0.00007559785,0.9838217,0.0000659092,0.000030328049,0.000049680515,0.000013219531,0.00024127675,0.0026843653],"genre_scores_gemma":[0.9193497,0.00013358354,0.077397615,0.000048631846,0.000016327856,0.00021023818,0.000035319907,0.00001889473,0.0027897758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974674,0.00003303061,0.000018547358,0.00006122165,0.00011580386,0.000024531359],"domain_scores_gemma":[0.9997998,0.00004367043,0.000048139744,0.000021992844,0.00007551823,0.000010815149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043189205,0.00050799694,0.0004548565,0.00025715522,0.00048159735,0.00082553516,0.00078795006,0.0008743914,0.0013405642],"category_scores_gemma":[0.0006243876,0.00025944354,0.00057272834,0.00017465439,0.000565085,0.0005475197,0.00060446275,0.0007983069,0.00024242252],"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":[0.00019596927,0.00006977764,0.00037965731,0.0001981689,0.000058507485,0.00021544003,0.00035486973,0.8256909,0.06857208,0.022023326,0.00096919906,0.08127209],"study_design_scores_gemma":[0.000019007977,0.000077656856,0.00013051943,0.000010309356,0.000010322411,0.000031468564,0.0000114798995,0.99330056,0.0045340196,0.0010352944,0.0008302751,0.000009108636],"about_ca_topic_score_codex":0.0043935147,"about_ca_topic_score_gemma":0.0035175586,"teacher_disagreement_score":0.0043935147,"about_ca_system_score_codex":0.00053011096,"about_ca_system_score_gemma":0.00093161594,"threshold_uncertainty_score":0.008735895},"labels":[],"label_agreement":null},{"id":"W4390728321","doi":"10.12700/aph.20.8.2023.8.5","title":"Lung Ultrasound Imaging and Image Processing with Artificial Intelligence Methods for Bedside Diagnostic Examinations","year":2023,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Ultrasound; Radiology; Image processing; Artificial intelligence; Computer science; Medicine; Medical imaging; Lung; Diagnostic ultrasound; Medical physics; Computer vision; Image (mathematics); Internal medicine","score_opus":0.04199373075154167,"score_gpt":0.4080431646051668,"score_spread":0.36604943385362515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390728321","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":[0.01275668,0.019856686,0.95402193,0.0014290421,0.000384958,0.00020171674,0.00007676366,0.00072146696,0.010550792],"genre_scores_gemma":[0.20396559,0.016069276,0.77114975,0.0005584197,0.00060495106,0.0003375182,0.0001521292,0.000101736914,0.007060571],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879634,0.00062053313,0.000068184054,0.00010746732,0.00037106432,0.00003636833],"domain_scores_gemma":[0.99828005,0.0012651198,0.00008875566,0.000115076546,0.00021850482,0.000032447937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014504582,0.0006840853,0.00041588073,0.0012180425,0.00025839166,0.0013749746,0.00065974635,0.0010297946,0.00476775],"category_scores_gemma":[0.0037636412,0.00023969852,0.00048018392,0.001627841,0.000676662,0.0010446477,0.0006593836,0.0010423076,0.0014795511],"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":[0.00018168618,0.00020821445,0.003606842,0.00081636343,0.000092087335,0.0002282263,0.00017515782,0.052142743,0.016658094,0.030757593,0.005533659,0.88959926],"study_design_scores_gemma":[0.000061251565,0.0006230845,0.0086492235,0.00063837774,0.00011280649,0.0009821715,0.00021754266,0.8134941,0.029158346,0.07438207,0.07153887,0.00014221818],"about_ca_topic_score_codex":0.0010539402,"about_ca_topic_score_gemma":0.0010156502,"teacher_disagreement_score":0.00476775,"about_ca_system_score_codex":0.00050506525,"about_ca_system_score_gemma":0.000641296,"threshold_uncertainty_score":0.015949726},"labels":[],"label_agreement":null},{"id":"W4396683137","doi":"10.12700/aph.20.8.2023.8.9","title":"Development of a Research Testbed for Intraoperative Optical Spectroscopy Tumor Margin Assessment","year":2023,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Testbed; Margin (machine learning); Spectroscopy; Computer science; Environmental science; Engineering; Medical physics; Medicine; Physics; Aerospace engineering; Machine learning; Astronomy","score_opus":0.07273891266915111,"score_gpt":0.4577576979838549,"score_spread":0.3850187853147038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396683137","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":[0.29725406,0.0004481607,0.69039124,0.00048244643,0.00042138595,0.00081426546,0.00079600094,0.0065478534,0.0028445465],"genre_scores_gemma":[0.6515181,0.000399279,0.34282342,0.00020500131,0.000041031748,0.0010449988,0.0007978474,0.00018362308,0.0029867522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994773,0.00009936787,0.000038341233,0.0001291616,0.00018224733,0.000073457406],"domain_scores_gemma":[0.9991202,0.00019951181,0.00013195327,0.00015426756,0.00023079854,0.0001631945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011986558,0.0005348096,0.00042605028,0.00043002467,0.00022063959,0.00056463835,0.0011370357,0.0005846039,0.0017715085],"category_scores_gemma":[0.0016522085,0.00022457133,0.0003896495,0.00018980264,0.00032056466,0.00079859333,0.00089763437,0.00046581676,0.0005375261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056844176,0.0003974233,0.006106958,0.0004040167,0.000051376006,0.0006374252,0.00022641107,0.031290833,0.8848732,0.0028591019,0.0026399964,0.06994474],"study_design_scores_gemma":[0.00011850436,0.0037579148,0.008547845,0.00008747043,0.000092111906,0.0010450202,0.0002086794,0.2810399,0.67807823,0.0016522602,0.025248278,0.00012368726],"about_ca_topic_score_codex":0.00068471313,"about_ca_topic_score_gemma":0.00062806974,"teacher_disagreement_score":0.0017715085,"about_ca_system_score_codex":0.00045027115,"about_ca_system_score_gemma":0.00083694886,"threshold_uncertainty_score":0.006339133},"labels":[],"label_agreement":null},{"id":"W4409891331","doi":"10.12700/aph.22.5.2025.5.5","title":"Design and Implementation of a Laboratory Prototype for Boolean Function Simplification in Real Time","year":2025,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Function (biology); Boolean function; Programming language; Algorithm","score_opus":0.008767194731108869,"score_gpt":0.2739395831564304,"score_spread":0.26517238842532154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409891331","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":[0.07217859,0.00029500693,0.8818052,0.0005455547,0.00039541436,0.0010405608,0.000483093,0.021477496,0.021779101],"genre_scores_gemma":[0.5149214,0.00021337584,0.46450415,0.0003187281,0.00007665365,0.0010751637,0.00053101266,0.0008217335,0.017537689],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941766,0.000101956764,0.000027915006,0.00012865884,0.0002095845,0.00011427429],"domain_scores_gemma":[0.99919325,0.0001646582,0.00006142824,0.00019854448,0.00028017582,0.00010193999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057824136,0.00076956605,0.0006364214,0.0005243529,0.00041342134,0.000909227,0.003672455,0.0008631829,0.023218274],"category_scores_gemma":[0.0013536833,0.00039277258,0.0004384757,0.0003828789,0.00040493155,0.0012812525,0.0006744032,0.0007815485,0.005622278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013416153,0.0011579302,0.002951554,0.0020119606,0.00017839896,0.0015145881,0.00087632186,0.017082667,0.55562645,0.027466528,0.024056977,0.36573508],"study_design_scores_gemma":[0.0006550426,0.004746048,0.0032004523,0.00016027353,0.00027962172,0.0023376253,0.00031020216,0.1884676,0.6298565,0.0046752705,0.16513993,0.00017150704],"about_ca_topic_score_codex":0.0007418798,"about_ca_topic_score_gemma":0.0004451991,"teacher_disagreement_score":0.023218274,"about_ca_system_score_codex":0.0005793563,"about_ca_system_score_gemma":0.00079830387,"threshold_uncertainty_score":0.07767284},"labels":[],"label_agreement":null},{"id":"W4416905278","doi":"10.12700/aph.23.1.2026.1.2","title":"Study on the Dynamic Properties of a Long freight Wagon, from a Safety Point of View, when Running on a Track","year":2025,"lang":"","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"University of Regina","funders":"Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Agentúra na Podporu Výskumu a Vývoja; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky","keywords":"Track (disk drive); Point (geometry); Track-before-detect; Multi point","score_opus":0.012634706993877863,"score_gpt":0.22032279025577245,"score_spread":0.20768808326189458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416905278","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":[0.9902035,0.0000915412,0.0076855225,0.00001989857,0.000011656307,0.000016549662,0.00007174969,0.000036033653,0.0018633567],"genre_scores_gemma":[0.99798405,0.00006198892,0.0009130326,0.0000030687077,0.0000020944378,0.000010171225,0.000082189756,0.0000062723966,0.0009371548],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.00001910419,0.000006709547,0.000028967905,0.000044744927,0.000022904487],"domain_scores_gemma":[0.99976104,0.000080479964,0.000057237918,0.00003183546,0.00004828183,0.000021197611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018454861,0.00041224464,0.00029599603,0.0006143627,0.0003021222,0.00048180012,0.00021684448,0.0005072622,0.0014575343],"category_scores_gemma":[0.00041931617,0.00015496272,0.00037080384,0.0003151087,0.0003607685,0.0003586901,0.00031501977,0.00021562948,0.00036470024],"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":[0.001054121,0.00043126292,0.07695069,0.0005564933,0.0002592452,0.0022865953,0.0011567662,0.20639223,0.63495713,0.0020121597,0.0008836889,0.073059656],"study_design_scores_gemma":[0.000049923103,0.0033760855,0.30570465,0.00011335598,0.00021355748,0.0011993833,0.0031250524,0.6114841,0.06375053,0.0010781534,0.009773644,0.00013159472],"about_ca_topic_score_codex":0.0025721597,"about_ca_topic_score_gemma":0.0024500357,"teacher_disagreement_score":0.0025721597,"about_ca_system_score_codex":0.00013941841,"about_ca_system_score_gemma":0.00025286738,"threshold_uncertainty_score":0.005114436},"labels":[],"label_agreement":null}]}