{"meta":{"query_hash":"5b226f8dac2b","filters":{"venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/5b226f8dac2b","api":"https://metacan.xera.ac/api/v1/cohort?venue=TELKOMNIKA+%28Telecommunication+Computing+Electronics+and+Control%29"},"results":[{"id":"W1716099252","doi":"10.12928/telkomnika.v9i1.679","title":"Hybrid De-embedding Technique for Microwave Absorber Characterization","year":2011,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":4,"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":"Institut Teknologi Bandung; Queen's University; Queen's University Belfast; Health Resources in Action","keywords":"Test fixture; Microwave; Fixture; Scattering parameters; Embedding; Characterization (materials science); Experimental data; Computer science; Process (computing); Test data; Ideal (ethics); Algorithm; Electronic engineering; Optics; Mechanical engineering; Mathematics; Physics; Engineering; Artificial intelligence; Telecommunications","score_opus":0.01297133180877277,"score_gpt":0.23334093720280985,"score_spread":0.22036960539403708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1716099252","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":[0.16379619,0.0019175009,0.8327586,0.00007281595,0.000044491593,0.00046748485,0.0000076054607,0.0006663583,0.00026893683],"genre_scores_gemma":[0.93780726,0.0014598897,0.06041227,0.000093676,0.000025067753,0.000097253214,0.000038398022,0.00004698567,0.000019215177],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990107,0.000034129993,0.000284586,0.00018360138,0.00005189844,0.00043509118],"domain_scores_gemma":[0.9992755,0.000106770734,0.000103280785,0.00038777123,0.00008203227,0.000044634107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037517375,0.00018878463,0.00024353845,0.00009748796,0.00018846068,0.000032814467,0.00030608076,0.00009763532,0.000003302686],"category_scores_gemma":[0.000044298937,0.00020155594,0.000060295242,0.00009495408,0.000049143713,0.0001157676,0.000052403182,0.0002745923,0.000002055053],"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":[0.00002381013,0.000027646398,0.00009330926,0.00003896323,0.000059897025,4.7221243e-7,0.00018442202,0.0004412926,0.90753776,0.006600412,0.000026449821,0.08496555],"study_design_scores_gemma":[0.0012534605,0.00018935476,0.0010941701,0.00007811966,0.000074268835,0.00006701355,0.000075827964,0.39578116,0.5713044,0.01586891,0.013610269,0.00060305255],"about_ca_topic_score_codex":0.0000034798377,"about_ca_topic_score_gemma":0.00000374981,"teacher_disagreement_score":0.7740111,"about_ca_system_score_codex":0.00009371514,"about_ca_system_score_gemma":0.000025455054,"threshold_uncertainty_score":0.8219213},"labels":[],"label_agreement":null},{"id":"W2476717803","doi":"10.12928/telkomnika.v14i2a.4375","title":"O2O E-Commerce Data Mining in Big Data Era","year":2016,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","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":"Air Canada","funders":"","keywords":"Big data; Computer science; Data mining; Data science","score_opus":0.058215118142934286,"score_gpt":0.27332902281573146,"score_spread":0.21511390467279717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476717803","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":[0.78708166,0.006285785,0.050345954,0.14487305,0.0004475808,0.0010630414,0.000071235714,0.0010921207,0.008739557],"genre_scores_gemma":[0.9928713,0.00045740878,0.0016501752,0.0040520495,0.00041042562,0.000011545379,0.00044786063,0.00004157402,0.000057665402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784386,0.000058456088,0.00064277917,0.00066821894,0.00017983426,0.00060687563],"domain_scores_gemma":[0.9951858,0.00053042365,0.0004072181,0.003709512,0.00015012699,0.00001690883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016762768,0.00026288733,0.00036958093,0.00045442578,0.0004375234,0.00022236125,0.0033510528,0.00016281045,0.000021577725],"category_scores_gemma":[0.000449745,0.00022374668,0.000027689419,0.00086634513,0.0001868588,0.0010787869,0.0027277055,0.0005018149,0.00004836305],"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":[0.000037932154,0.0001738441,0.026962684,0.000026983302,0.00008167482,0.000002271765,0.00003171171,0.000007396396,0.0017533441,0.06436915,0.004980555,0.90157247],"study_design_scores_gemma":[0.009303632,0.00008442919,0.05568531,0.00052588974,0.00020256481,0.00003474153,0.00046662724,0.20805748,0.00009488145,0.013693088,0.7103707,0.0014806596],"about_ca_topic_score_codex":0.0004351696,"about_ca_topic_score_gemma":0.002046277,"teacher_disagreement_score":0.90009177,"about_ca_system_score_codex":0.000060040868,"about_ca_system_score_gemma":0.0000852694,"threshold_uncertainty_score":0.91241246},"labels":[],"label_agreement":null},{"id":"W2945053206","doi":"10.12928/telkomnika.v17i5.10202","title":"Understanding user intention in image retrieval: generalization selection using multiple concept hierarchies","year":2019,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","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":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Generalization; Hierarchy; Selection (genetic algorithm); Set (abstract data type); Information retrieval; Context (archaeology); Focus (optics); Task (project management); Abstraction; Artificial intelligence; Theoretical computer science; Data mining; Mathematics","score_opus":0.033767566107204834,"score_gpt":0.26986578001032335,"score_spread":0.23609821390311853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945053206","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":[0.10075108,0.0009115618,0.8966436,0.00064124767,0.00010673556,0.00050310325,0.0000011970648,0.0003249037,0.000116592826],"genre_scores_gemma":[0.96559364,0.00045513533,0.033613674,0.00019991901,0.00003016367,0.0000057982697,0.000023115845,0.000024862748,0.00005366939],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978438,0.0003921126,0.00055977394,0.0004856082,0.00026265642,0.00045603665],"domain_scores_gemma":[0.9984123,0.0003600247,0.0003623848,0.0005839171,0.00021839046,0.00006294772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000896165,0.00022985789,0.00031399232,0.0003550498,0.00032854563,0.0003548403,0.00064071454,0.00013847004,0.0000082165725],"category_scores_gemma":[0.00012353635,0.00024454528,0.00007535543,0.00097169506,0.000076501,0.00076558546,0.00020754182,0.0004458782,0.000005514944],"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":[0.00018935437,0.00030486748,0.018310402,0.00008417097,0.00010891191,0.000001591004,0.0014443762,0.0026082527,0.5797163,0.36907887,0.00007028178,0.02808259],"study_design_scores_gemma":[0.0014282664,0.00014279377,0.0024301233,0.00006123544,0.000012121557,0.000019356163,0.00008220463,0.9668467,0.022922432,0.0050229975,0.0007214777,0.0003103058],"about_ca_topic_score_codex":0.00008708524,"about_ca_topic_score_gemma":0.000041062365,"teacher_disagreement_score":0.9642384,"about_ca_system_score_codex":0.0005980708,"about_ca_system_score_gemma":0.00012783431,"threshold_uncertainty_score":0.9972268},"labels":[],"label_agreement":null},{"id":"W3004508189","doi":"10.12928/telkomnika.v18i4.13073","title":"SVC device optimal location for voltage stability enhancement based on a combined particle swarm optimization-continuation power flow technique","year":2020,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Power System Optimization and Stability","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":"Université du Québec à Chicoutimi","funders":"","keywords":"Static VAR compensator; Particle swarm optimization; Control theory (sociology); AC power; Computer science; Voltage; Electric power system; Power (physics); Stability (learning theory); Mathematical optimization; Engineering; Mathematics; Electrical engineering; Algorithm; Control (management)","score_opus":0.011270632587274673,"score_gpt":0.2229751542872774,"score_spread":0.21170452170000273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004508189","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":[0.01535382,0.0005438795,0.9799031,0.0014311844,0.000070487244,0.0019011766,0.00001659951,0.0004971717,0.0002825677],"genre_scores_gemma":[0.96288276,0.00004599024,0.03579274,0.00075189484,0.000022898514,0.0003035075,0.00014780165,0.00004712143,0.0000053074687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980759,0.00019527035,0.00068604853,0.00040443812,0.00021982552,0.00041850872],"domain_scores_gemma":[0.9981926,0.00044864355,0.00018919977,0.0006038167,0.00041466454,0.0001510879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009899919,0.00028578707,0.00038112554,0.000058220412,0.00030056533,0.00012964649,0.00032296436,0.00013139442,0.000039814277],"category_scores_gemma":[0.00026494515,0.0003143118,0.00008495391,0.0003958229,0.00004475107,0.0001561393,0.000041750623,0.0002745561,0.0000044873154],"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":[0.00021481742,0.00014726381,0.00012873943,0.0000999294,0.000043293938,9.2848325e-8,0.00042907055,0.9912987,0.0037342496,0.0009699293,0.00007996385,0.0028539826],"study_design_scores_gemma":[0.00222628,0.00046753278,0.00012575116,0.0000343894,0.000032793523,5.3616475e-7,0.000058116773,0.98088056,0.014166391,0.00002856524,0.001677944,0.00030114746],"about_ca_topic_score_codex":0.0000048141596,"about_ca_topic_score_gemma":0.0000105462,"teacher_disagreement_score":0.9475289,"about_ca_system_score_codex":0.00024587612,"about_ca_system_score_gemma":0.00011498275,"threshold_uncertainty_score":0.9999309},"labels":[],"label_agreement":null},{"id":"W3041073179","doi":"10.12928/telkomnika.v18i5.5632","title":"Accurate harmonic source identification using S-transform","year":2020,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Power Quality and Harmonics","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":"Infineon Technologies (Canada)","funders":"","keywords":"Harmonic; MATLAB; Computer science; Electrical impedance; Identification (biology); Harmonic analysis; Power (physics); S transform; Electronic engineering; Acoustics; Physics; Engineering; Artificial intelligence; Electrical engineering; Wavelet transform","score_opus":0.026333441045844154,"score_gpt":0.25080892696420043,"score_spread":0.22447548591835628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041073179","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":[0.29066464,0.013009218,0.69168514,0.0029427283,0.00009774947,0.00039548374,0.000009740206,0.0008060657,0.00038919982],"genre_scores_gemma":[0.9958336,0.0020988167,0.0010568585,0.0008107622,0.00009269469,0.000007818686,0.000032294007,0.000055332468,0.000011823218],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836725,0.00011469456,0.00057789247,0.00027823073,0.00017472614,0.0004872088],"domain_scores_gemma":[0.9990103,0.00015962085,0.00014099371,0.00044730498,0.00008343324,0.000158306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005035912,0.00024905533,0.00032264288,0.00006713758,0.00035940696,0.00019165852,0.00050276704,0.00012520485,0.000011765193],"category_scores_gemma":[0.000040357183,0.00028713123,0.00009045247,0.00030427182,0.000056834935,0.00022784749,0.00006814472,0.0005850593,0.000021397982],"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":[0.00019821251,0.000182531,0.00021983638,0.00049860147,0.00082744303,0.000003443751,0.007944168,0.2978997,0.26508132,0.020094132,0.00090449257,0.4061461],"study_design_scores_gemma":[0.00089333806,0.000051556013,0.00025905875,0.000018849763,0.00006380289,0.000010487195,0.00008652106,0.96721596,0.005584747,0.0005110073,0.024979705,0.00032499235],"about_ca_topic_score_codex":0.000015874115,"about_ca_topic_score_gemma":0.000012704437,"teacher_disagreement_score":0.70516896,"about_ca_system_score_codex":0.00012787592,"about_ca_system_score_gemma":0.00006671857,"threshold_uncertainty_score":0.9999581},"labels":[],"label_agreement":null},{"id":"W3121978214","doi":"10.12928/telkomnika.v19i3.18768","title":"Design of compact microstrip bandpass filter using square DMS slots for Wi-Fi and bluetooth applications","year":2021,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Return loss; Miniaturization; Insertion loss; Microstrip; Band-pass filter; Resonator; Bluetooth; Computer science; Filter (signal processing); Microwave; Wireless; Electronic engineering; Acoustics; Electrical engineering; Materials science; Optoelectronics; Telecommunications; Physics; Engineering; Antenna (radio)","score_opus":0.016443870651656887,"score_gpt":0.23801270973220215,"score_spread":0.22156883908054525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121978214","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":[0.07010362,0.023264265,0.90571153,0.00013103122,0.00004294829,0.00049746345,0.000031951542,0.00015489753,0.000062295716],"genre_scores_gemma":[0.9776089,0.0011297464,0.02099406,0.00006322237,0.00005529351,0.00001879714,0.00006236387,0.000050341958,0.00001726771],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988245,0.000074361946,0.00041714282,0.00023458389,0.000087184606,0.0003622378],"domain_scores_gemma":[0.99865866,0.0005011262,0.0001096486,0.00047773082,0.00017894563,0.00007390822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039444727,0.0002188358,0.0003750371,0.00008626605,0.00021123343,0.00008990691,0.00021575845,0.00010493072,0.0000037592158],"category_scores_gemma":[0.000032954977,0.00024412358,0.00006478923,0.00019210248,0.000051339965,0.00006450349,0.000049769227,0.00023081097,5.38841e-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":[0.00004803554,0.0001024392,0.00022397604,0.0004204744,0.00036941085,7.6883197e-7,0.0004256742,0.36807406,0.5895033,0.0033410236,0.00053456705,0.03695632],"study_design_scores_gemma":[0.0012973225,0.00006991235,0.0002791716,0.00008039298,0.000081203056,0.000039539722,0.000043434975,0.9548646,0.03334397,0.00044524943,0.009164353,0.0002908159],"about_ca_topic_score_codex":0.000009613927,"about_ca_topic_score_gemma":0.000006051698,"teacher_disagreement_score":0.9075053,"about_ca_system_score_codex":0.000074234216,"about_ca_system_score_gemma":0.00007239221,"threshold_uncertainty_score":0.9955071},"labels":[],"label_agreement":null},{"id":"W4399663950","doi":"10.12928/telkomnika.v22i4.25847","title":"Multi objective hyperparameter tuning via random search on deep learning models","year":2024,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":11,"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":"Universiti Teknologi MARA","keywords":"Hyperparameter; Random search; Computer science; Artificial intelligence; Machine learning; Hyperparameter optimization; Algorithm","score_opus":0.018916128879327244,"score_gpt":0.23492942541757955,"score_spread":0.2160132965382523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399663950","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":[0.13495426,0.034567297,0.82728755,0.00037622216,0.00012018527,0.0003310252,0.0000013894048,0.0009774657,0.0013845686],"genre_scores_gemma":[0.9949315,0.0020394525,0.0026267883,0.00016751913,0.0000634931,0.00001946625,0.000023250454,0.00006887436,0.000059654434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828833,0.00024040436,0.0003570424,0.00033871018,0.000256831,0.00051866745],"domain_scores_gemma":[0.99881667,0.00057394017,0.000039355244,0.0003883679,0.000095791234,0.00008587105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009843935,0.0002744669,0.0003680184,0.00026931902,0.00036583203,0.00026070676,0.0003065908,0.00009820553,0.000011631338],"category_scores_gemma":[0.00003406481,0.0002684062,0.00014961776,0.00037844578,0.000042001888,0.00017289034,0.00006161301,0.0010482593,0.000025164674],"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":[0.00004928186,0.000038814236,0.00006111455,0.000041177882,0.00045913234,0.0000022533084,0.00079621584,0.73871064,0.018783556,0.00084915716,0.00003417326,0.24017446],"study_design_scores_gemma":[0.0013144901,0.00009622611,0.00006660271,0.00008236137,0.000083140774,0.0000072873368,0.0000620966,0.9947426,0.00088338804,0.00031292363,0.0020606515,0.00028824309],"about_ca_topic_score_codex":0.00002839653,"about_ca_topic_score_gemma":0.000033828343,"teacher_disagreement_score":0.85997725,"about_ca_system_score_codex":0.00019914481,"about_ca_system_score_gemma":0.0000319803,"threshold_uncertainty_score":0.9999768},"labels":[],"label_agreement":null},{"id":"W4405794961","doi":"10.12928/telkomnika.v23i1.26155","title":"PV solar anomaly detection using low-cost data logger and ANN algorithm","year":2024,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Data logger; Anomaly detection; Computer science; Anomaly (physics); Algorithm; Data mining; Physics; Operating system","score_opus":0.021353068832256836,"score_gpt":0.2761771474573779,"score_spread":0.2548240786251211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405794961","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":[0.03724842,0.01829629,0.94260716,0.00072123116,0.00026687075,0.00037047168,0.0000156832,0.000400598,0.00007329809],"genre_scores_gemma":[0.9722251,0.0015175793,0.025413845,0.00059704145,0.00013903352,0.000007648861,0.00004906308,0.00003051939,0.000020138985],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795276,0.0002543973,0.00041554085,0.0006858276,0.000218333,0.00047315334],"domain_scores_gemma":[0.9977048,0.00043016413,0.00015091259,0.0014662675,0.00011453958,0.00013333936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012275305,0.00024963048,0.0002743654,0.00021118112,0.00060332305,0.00095573324,0.0011730782,0.0001400453,0.0000037257535],"category_scores_gemma":[0.000061312894,0.00025936938,0.000050157538,0.0005386091,0.000073624906,0.0007717421,0.00066646707,0.00058390584,0.000008809208],"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":[0.000009417864,0.00005212479,0.00020806654,0.000035823752,0.00010200218,0.0000046732034,0.00036451,0.0003851554,0.0048868945,0.0039985413,0.00008208197,0.9898707],"study_design_scores_gemma":[0.000538819,0.0000554551,0.0008052722,0.00003937478,0.000037257316,0.00012736335,0.000016269127,0.9685541,0.0008630331,0.00114666,0.027533019,0.0002834173],"about_ca_topic_score_codex":0.0001276277,"about_ca_topic_score_gemma":0.00007588417,"teacher_disagreement_score":0.9895873,"about_ca_system_score_codex":0.00012388919,"about_ca_system_score_gemma":0.00020510865,"threshold_uncertainty_score":0.9999859},"labels":[],"label_agreement":null},{"id":"W4405794967","doi":"10.12928/telkomnika.v23i1.25857","title":"Swarm intelligence for intrusion detection systems in internet of things environments","year":2024,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"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":"Universitas Islam Riau","keywords":"Internet of Things; Intrusion detection system; Computer science; Swarm intelligence; Swarm behaviour; The Internet; Intrusion; Computer security; Artificial intelligence; World Wide Web; Machine learning; Particle swarm optimization; Geology","score_opus":0.009726242668192943,"score_gpt":0.23649121106194493,"score_spread":0.226764968393752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405794967","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":[0.061819755,0.013063062,0.9237496,0.00031898043,0.0003700569,0.00047644135,6.2317946e-7,0.00012611509,0.000075348675],"genre_scores_gemma":[0.9941337,0.0019752225,0.0036473651,0.00010787299,0.00004818662,0.000038155136,0.0000053488707,0.00001592547,0.000028199001],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983113,0.00018482607,0.0006016291,0.00040431923,0.00017685362,0.00032111313],"domain_scores_gemma":[0.99867105,0.00054955774,0.00019536035,0.00048561042,0.000050444818,0.000047992635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012728455,0.00017284237,0.0002703839,0.00026633247,0.00013669425,0.00021820304,0.0006760222,0.0001282916,0.0000016471126],"category_scores_gemma":[0.000050265415,0.00017372405,0.0000745739,0.0004184833,0.00005093617,0.00042907053,0.0002491819,0.00041177834,0.000003821359],"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":[0.000057501125,0.000083131505,0.000024384448,0.00010755957,0.00004732821,7.554416e-7,0.0013323934,0.0031898231,0.011165814,0.10329125,0.000022814525,0.8806772],"study_design_scores_gemma":[0.00030536248,0.00031655756,0.00009483857,0.00016155356,0.000011760862,0.000019620813,0.000025324158,0.9666242,0.012231014,0.0069821053,0.013065273,0.00016240559],"about_ca_topic_score_codex":0.0001714062,"about_ca_topic_score_gemma":0.000046174766,"teacher_disagreement_score":0.96343434,"about_ca_system_score_codex":0.00017396762,"about_ca_system_score_gemma":0.000047568712,"threshold_uncertainty_score":0.7084261},"labels":[],"label_agreement":null},{"id":"W4405795043","doi":"10.12928/telkomnika.v23i1.26377","title":"Enhanced sentiment analysis and emotion detection in movie reviews using support vector machine algorithm","year":2024,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","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":"","keywords":"Sentiment analysis; Support vector machine; Emotion detection; Computer science; Artificial intelligence; Algorithm; Pattern recognition (psychology); Emotion recognition","score_opus":0.013003564303256198,"score_gpt":0.2798707231855362,"score_spread":0.26686715888227996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405795043","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":[0.06389933,0.02339981,0.9117516,0.0004042112,0.00010428613,0.00027577791,0.0000013744462,0.000118789474,0.00004480438],"genre_scores_gemma":[0.9755435,0.003964668,0.020214237,0.00014828515,0.00004879558,0.000011304495,0.000024102646,0.000013911861,0.000031189244],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978414,0.00034348018,0.0006642591,0.0005710566,0.0002030499,0.00037672295],"domain_scores_gemma":[0.99886805,0.00018390175,0.000229954,0.00057699,0.0000631757,0.00007794074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015778496,0.00023242855,0.0005001,0.00063093763,0.0002701936,0.0004542958,0.0003728375,0.00008075394,0.000012829848],"category_scores_gemma":[0.000022659342,0.00022547379,0.00016251915,0.0016030979,0.00003151854,0.00033096428,0.00021059871,0.00033957223,0.0000054941006],"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":[0.0000057570264,0.000058047244,0.00029329586,0.000029254383,0.00034596748,0.0000018551056,0.0005540884,0.0008133049,0.013050552,0.0018169831,0.000006339264,0.98302454],"study_design_scores_gemma":[0.0004411656,0.00008000908,0.0018073703,0.00005502226,0.0002258777,0.000011584468,0.00001752148,0.9923094,0.0028783474,0.0002557593,0.0016912188,0.00022675423],"about_ca_topic_score_codex":0.00012292346,"about_ca_topic_score_gemma":0.00014327867,"teacher_disagreement_score":0.9914961,"about_ca_system_score_codex":0.00017650037,"about_ca_system_score_gemma":0.000055891473,"threshold_uncertainty_score":0.91945547},"labels":[],"label_agreement":null}]}