{"meta":{"query_hash":"351aba0b9182","filters":{"venue":"Journal of Electrical Systems and Information Technology"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/351aba0b9182","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Electrical+Systems+and+Information+Technology"},"results":[{"id":"W2996578945","doi":"10.1186/s43067-019-0005-0","title":"Developing of the smart quadcopter with improved flight dynamics and stability","year":2019,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":6,"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 Alberta","funders":"","keywords":"Quadcopter; Gyroscope; Control theory (sociology); Yaw; Controller (irrigation); Flight dynamics; Angular velocity; Electronic stability control; Rotating reference frame; Interfacing; Computer science; Compass; MATLAB; PID controller; Arduino; Frame (networking); Engineering; Control engineering; Aerodynamics; Automotive engineering; Embedded system; Aerospace engineering; Computer hardware","score_opus":0.0036854194368809825,"score_gpt":0.17507444460861035,"score_spread":0.17138902517172938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996578945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92939615,0.00061214424,0.068855405,0.00030830828,0.00019882049,0.00028152973,0.0000026532196,0.000026110676,0.00031884992],"genre_scores_gemma":[0.99929726,0.000038866052,0.00062435475,0.0000119818615,0.0000144374135,0.0000022346737,3.13589e-7,0.000004373405,0.0000061523006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992074,0.000016511329,0.00052143855,0.000034681194,0.00011356297,0.00010645444],"domain_scores_gemma":[0.99931586,0.000042468313,0.00030690207,0.00009599185,0.00021501984,0.000023753653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023040554,0.000077981735,0.00026320628,0.00016874101,0.000021793903,0.000019785164,0.000097301054,0.000117992546,9.0274693e-7],"category_scores_gemma":[0.000050789808,0.000044312877,0.000022551645,0.00024948205,0.000036834932,0.00043052912,0.000020493808,0.00021009227,8.9193327e-7],"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":[0.00066527136,0.00008909416,0.40400267,0.0036485065,0.001384422,0.0000049852465,0.0013077516,0.0030272289,0.038071956,0.4089113,0.00029965013,0.13858718],"study_design_scores_gemma":[0.0022322983,0.0010765888,0.02546637,0.00034448048,0.000044133998,0.00069493474,0.0008538962,0.9529444,0.005058044,0.00019511893,0.010800859,0.00028886073],"about_ca_topic_score_codex":0.0000066659163,"about_ca_topic_score_gemma":0.000006038526,"teacher_disagreement_score":0.9499172,"about_ca_system_score_codex":0.00010830508,"about_ca_system_score_gemma":0.000039842314,"threshold_uncertainty_score":0.18070267},"labels":[],"label_agreement":null},{"id":"W3084801339","doi":"10.1186/s43067-020-00022-7","title":"A flexible model for studying fringe field effect on parallel plate actuators","year":2020,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":6,"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":"University of Waterloo","keywords":"Actuator; Voltage; MATLAB; Electric field; Engineering; Control theory (sociology); Computer science; Electrical engineering; Physics","score_opus":0.014144825627914429,"score_gpt":0.23506961954654657,"score_spread":0.22092479391863212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084801339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2281188,0.0006118705,0.7695975,0.00067497214,0.000117974385,0.00033539318,0.000002277148,0.00035270807,0.00018849973],"genre_scores_gemma":[0.99656653,0.00031120778,0.00292086,0.00012142748,0.000038682818,0.000027263404,5.116875e-7,0.0000082177885,0.0000052784417],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924374,0.0000024945364,0.00042531133,0.000051313054,0.00009853159,0.00017863164],"domain_scores_gemma":[0.9995603,0.00010412178,0.00016361679,0.000065223074,0.00005501231,0.000051758434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011295056,0.00011277306,0.00029362846,0.00030310426,0.00005415434,0.000028653963,0.00012691533,0.00021347158,4.995006e-7],"category_scores_gemma":[0.0002544978,0.000084306936,0.000049172922,0.0002646477,0.000012571892,0.00048732964,0.000018780514,0.0003472095,0.0000022933664],"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":[0.00063532003,0.000035730438,0.00021191285,0.00076410687,0.00028565596,0.000008373295,0.00061565917,0.22807117,0.015515912,0.06377471,0.0085349865,0.68154645],"study_design_scores_gemma":[0.0018657752,0.005847482,0.000020362833,0.00010880049,0.000031123076,0.00006704609,0.00017977353,0.9362577,0.03197779,0.0026051141,0.020777078,0.00026194588],"about_ca_topic_score_codex":4.6356402e-7,"about_ca_topic_score_gemma":6.271599e-8,"teacher_disagreement_score":0.76844776,"about_ca_system_score_codex":0.000040396146,"about_ca_system_score_gemma":0.000010185055,"threshold_uncertainty_score":0.3437937},"labels":[],"label_agreement":null},{"id":"W3165363420","doi":"10.1186/s43067-020-00026-3","title":"A meliorated Harris Hawks optimizer for combinatorial unit commitment problem with photovoltaic applications","year":2021,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Electric Power System Optimization","field":"Engineering","cited_by":13,"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 Calgary","funders":"University of Calgary","keywords":"Mathematical optimization; Schedule; Photovoltaic system; Computer science; Electric power system; Electricity generation; Wind power; Electric power; Optimization problem; Power (physics); Engineering; Electrical engineering; Mathematics","score_opus":0.0045689881953801924,"score_gpt":0.19563350985833197,"score_spread":0.1910645216629518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165363420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009949754,0.0037101775,0.98355126,0.00021141245,0.00032463993,0.0012952144,0.00001315591,0.00021543441,0.00072894973],"genre_scores_gemma":[0.97925806,0.0008943016,0.019077834,0.000046507685,0.00011451433,0.00048412682,0.000045252076,0.000030340738,0.000049059097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876964,0.000025302379,0.0007427648,0.000068683206,0.00018401175,0.00020961797],"domain_scores_gemma":[0.99845845,0.00006038574,0.00036478238,0.00012946548,0.0009138339,0.000073103925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023145512,0.0001325904,0.0003434687,0.00040904767,0.00009250226,0.000099934296,0.00011770272,0.000218756,0.0000029846187],"category_scores_gemma":[0.000048105194,0.000108035216,0.000037444825,0.0010741143,0.000021939946,0.00063294574,0.000012539281,0.00025302288,0.0000026315906],"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":[0.0010050139,0.0008613593,0.0029156404,0.0035945405,0.0033621513,0.00006388428,0.0008539231,0.35515535,0.02769932,0.5027364,0.030499812,0.071252584],"study_design_scores_gemma":[0.007218959,0.0019586717,0.000052532865,0.00026267752,0.00020668788,0.0017345602,0.00031862454,0.39787757,0.023283474,0.0016401003,0.5648969,0.0005492309],"about_ca_topic_score_codex":0.0000028259449,"about_ca_topic_score_gemma":7.4175455e-7,"teacher_disagreement_score":0.9693083,"about_ca_system_score_codex":0.0001392155,"about_ca_system_score_gemma":0.0001191826,"threshold_uncertainty_score":0.44055483},"labels":[],"label_agreement":null},{"id":"W4313590472","doi":"10.1186/s43067-022-00067-w","title":"Optimum generation scheduling incorporating wind energy using HHO–IGWO algorithm","year":2023,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Electric Power System Optimization","field":"Engineering","cited_by":21,"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 Calgary","funders":"Mitacs; University of Calgary","keywords":"Renewable energy; Power system simulation; Wind power; Scheduling (production processes); Electric power system; Mathematical optimization; Engineering; Computer science; Economic dispatch; Reliability engineering; Operations research; Operations management; Power (physics); Electrical engineering; Mathematics","score_opus":0.008811439879338249,"score_gpt":0.20747438646893648,"score_spread":0.19866294658959824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313590472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07719704,0.0014325585,0.9199352,0.000079738515,0.00072603574,0.00012572568,0.0000020799223,0.00029618508,0.00020539774],"genre_scores_gemma":[0.9839383,0.00044226478,0.0152590955,0.000021698927,0.00028716412,0.000005176311,0.000013824661,0.000019681016,0.0000128362235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837244,0.00003448029,0.0010068534,0.00007071601,0.0002568167,0.00025867924],"domain_scores_gemma":[0.9989986,0.000035321442,0.00049151527,0.0000999055,0.0003042234,0.000070436836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048918277,0.00014366343,0.00031235855,0.0015708082,0.00012064851,0.0001239688,0.0001274695,0.0002921864,0.0000014818751],"category_scores_gemma":[0.0001133052,0.00013306626,0.0000414851,0.0020748335,0.000019882547,0.0015385495,0.000024318373,0.0002754472,0.0000059210993],"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":[0.000005684477,0.0000103476,0.00026484183,0.00008209154,0.00010763701,0.000011557262,0.000090161055,0.87759936,0.012754292,0.009695134,0.0009095999,0.09846927],"study_design_scores_gemma":[0.0003203034,0.0001398738,0.000021491987,0.000053856747,0.000015600644,0.0004767208,0.00007576504,0.99460477,0.0020369098,0.00013307284,0.001987245,0.00013438273],"about_ca_topic_score_codex":0.000010039607,"about_ca_topic_score_gemma":3.1725142e-7,"teacher_disagreement_score":0.9067412,"about_ca_system_score_codex":0.00019757218,"about_ca_system_score_gemma":0.000062866246,"threshold_uncertainty_score":0.54262847},"labels":[],"label_agreement":null},{"id":"W4316041494","doi":"10.1186/s43067-023-00069-2","title":"An optimal solution to unit commitment problem of realistic integrated power system involving wind and electric vehicles using chaotic slime mould optimizer","year":2023,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"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":"","keywords":"Particle swarm optimization; Cuckoo search; Power system simulation; Grid; Computer science; Mathematical optimization; Renewable energy; Genetic algorithm; Harmony search; Chaotic; Engineering; Electric power system; Automotive engineering; Power (physics); Electrical engineering; Algorithm; Mathematics; Artificial intelligence","score_opus":0.0088241839963773,"score_gpt":0.21798722809426602,"score_spread":0.20916304409788872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316041494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97418404,0.0011926265,0.023879148,0.00008032612,0.000087481516,0.000331498,0.0000058355104,0.00017016438,0.000068854424],"genre_scores_gemma":[0.9975355,0.00021196085,0.002181088,0.000014316975,0.000030361918,0.0000045545703,0.0000049046653,0.000014840758,0.0000024612386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984176,0.000043928812,0.00090621534,0.00008560151,0.0002232625,0.00032339644],"domain_scores_gemma":[0.99907357,0.00004136471,0.00032751658,0.00011551325,0.0003182126,0.0001238218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043363258,0.00017131222,0.0004323582,0.0014988454,0.00009986424,0.00007568613,0.00015262172,0.00029028574,0.0000015699168],"category_scores_gemma":[0.000045987716,0.00013987224,0.000034755427,0.0019435493,0.000023431794,0.00072769425,0.00002919474,0.00041962674,0.0000015802015],"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":[0.00032753666,0.00007702271,0.0028848848,0.0015107979,0.0005188855,0.000029767836,0.0014496857,0.66983575,0.22272795,0.032333974,0.0015636213,0.06674013],"study_design_scores_gemma":[0.0006292729,0.0011900485,0.0011086483,0.00024072433,0.000048837883,0.00056481466,0.0007186307,0.990859,0.0037976159,0.000087453875,0.00057499163,0.00017998416],"about_ca_topic_score_codex":0.000035793364,"about_ca_topic_score_gemma":4.824485e-7,"teacher_disagreement_score":0.32102326,"about_ca_system_score_codex":0.00021845776,"about_ca_system_score_gemma":0.00005327252,"threshold_uncertainty_score":0.5703824},"labels":[],"label_agreement":null},{"id":"W4410002626","doi":"10.1186/s43067-025-00203-2","title":"Energy-aware federated learning for secure edge computing in 5G-enabled IoT networks","year":2025,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Edge computing; Computer science; Enhanced Data Rates for GSM Evolution; Internet of Things; Energy (signal processing); Efficient energy use; Computer network; Edge device; Distributed computing; Computer security; Cloud computing; Artificial intelligence; Operating system; Engineering","score_opus":0.00753658612996002,"score_gpt":0.23830026730255605,"score_spread":0.23076368117259602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410002626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006672495,0.0013182865,0.98491454,0.0062304903,0.00029711035,0.00016629946,4.7219967e-7,0.0002176723,0.0001826445],"genre_scores_gemma":[0.9906095,0.00019642503,0.008946765,0.0001833233,0.000032027852,0.000010228577,0.0000032121648,0.0000037666316,0.000014719204],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841636,0.000058241236,0.0009109194,0.00013247548,0.00014216261,0.00033983073],"domain_scores_gemma":[0.99823153,0.00023937495,0.00064061774,0.00049762224,0.00035634893,0.000034526278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074524764,0.00012934984,0.00037224442,0.0013276116,0.0001927289,0.00026011348,0.0031491534,0.00042262892,3.8731926e-7],"category_scores_gemma":[0.0033890337,0.00010993249,0.000042664233,0.002043691,0.00003809775,0.0010077293,0.0024278476,0.0006969184,4.505351e-7],"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":[0.00006581721,0.00006297517,0.003303898,0.00017392119,0.00010678178,0.000012746099,0.00005561699,0.006222643,0.00018501186,0.20806576,0.061563995,0.7201808],"study_design_scores_gemma":[0.0007099647,0.00025829795,0.00014761559,0.0001651539,0.0000046625105,0.000095717536,0.0000723566,0.9626383,0.00033676086,0.012862568,0.022605583,0.00010297827],"about_ca_topic_score_codex":0.000020297874,"about_ca_topic_score_gemma":0.0000024811586,"teacher_disagreement_score":0.983937,"about_ca_system_score_codex":0.00016604205,"about_ca_system_score_gemma":0.00011193521,"threshold_uncertainty_score":0.5851963},"labels":[],"label_agreement":null},{"id":"W4412178006","doi":"10.1186/s43067-025-00234-9","title":"Intelligent air traffic control using NLP-enhanced speech recognition and natural language generation","year":2025,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Traffic Prediction and Management 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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Natural language processing; Artificial intelligence; Control (management); Computer science; Speech recognition; Natural (archaeology); Geography","score_opus":0.006199096977083583,"score_gpt":0.21486637269403416,"score_spread":0.20866727571695057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412178006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56679606,0.002525868,0.42935374,0.00012768732,0.00037232076,0.00020262907,0.0000019903914,0.00041998582,0.00019973773],"genre_scores_gemma":[0.99847263,0.0006837293,0.0007059853,0.00007591857,0.000043488817,0.000005221525,0.000003788932,0.0000029168873,0.0000063363645],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993593,0.000013605566,0.00041774003,0.000038539132,0.00007632401,0.000094466006],"domain_scores_gemma":[0.99970883,0.000013485769,0.000118877346,0.00004199412,0.00009429345,0.000022489707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636256,0.000072937735,0.00015757707,0.0006869443,0.000040788793,0.00004049357,0.000046411125,0.000121021374,9.856514e-7],"category_scores_gemma":[0.0000421258,0.0000625816,0.000022017452,0.00030209223,0.000017914268,0.0005852373,0.000008084207,0.00020321568,0.0000010240757],"study_design_candidate":"design_other","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":[0.000017237695,0.000010576986,0.000010933283,0.00008239999,0.00006890159,0.0000015882612,0.000087763605,0.002795563,0.013710146,0.0011747594,0.0018266095,0.9802135],"study_design_scores_gemma":[0.00072604814,0.0001678477,0.000097781674,0.00009865979,0.000046799552,0.00015527668,0.00031832152,0.9737528,0.018573346,0.00006331065,0.005888688,0.000111101624],"about_ca_topic_score_codex":0.0000026334583,"about_ca_topic_score_gemma":0.0000010127058,"teacher_disagreement_score":0.9801024,"about_ca_system_score_codex":0.00007425117,"about_ca_system_score_gemma":0.000010310601,"threshold_uncertainty_score":0.25520036},"labels":[],"label_agreement":null},{"id":"W4416391996","doi":"10.1186/s43067-025-00288-9","title":"Size matters less: how fine-tuned small LLMs excel in BPMN generation","year":2025,"lang":"en","type":"article","venue":"Journal of Electrical Systems and Information Technology","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Business Process Model and Notation; Python (programming language); Pipeline (software); XML; Process (computing); Process modeling; Benchmark (surveying); Business process modeling","score_opus":0.011112952222101836,"score_gpt":0.1993258710873685,"score_spread":0.18821291886526664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416391996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8469979,0.0016621338,0.10739887,0.042048883,0.0005820432,0.00024609774,0.0000011942606,0.00010184218,0.0009610505],"genre_scores_gemma":[0.99821174,0.00012403281,0.00017402187,0.0012003438,0.00018670212,0.0000090557505,0.000004972359,0.0000041041526,0.00008501148],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896467,0.000008062952,0.0006383051,0.000079168596,0.00013930225,0.000170478],"domain_scores_gemma":[0.9988304,0.000028227867,0.0005990455,0.000084802225,0.0004491648,0.000008374043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038427353,0.00011263422,0.00031584586,0.0015705703,0.000088432476,0.00034205732,0.0001626807,0.00018014485,0.0000029709418],"category_scores_gemma":[0.0003273463,0.000089267356,0.000044399603,0.001787891,0.000025570798,0.0019792672,0.000040801904,0.00023947486,0.0000040310706],"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":[0.0002752524,0.00035134034,0.052954324,0.0024912085,0.00040731538,0.000029883557,0.0001450346,0.0124515155,0.01264768,0.27317432,0.040910847,0.60416126],"study_design_scores_gemma":[0.004585079,0.00012584521,0.006492572,0.000780456,0.0002847171,0.000092956296,0.0014144883,0.7947964,0.0008285643,0.00820078,0.18169054,0.00070760766],"about_ca_topic_score_codex":0.0001341221,"about_ca_topic_score_gemma":0.000020785215,"teacher_disagreement_score":0.7823449,"about_ca_system_score_codex":0.000046114128,"about_ca_system_score_gemma":0.00003758325,"threshold_uncertainty_score":0.36402172},"labels":[],"label_agreement":null}]}