{"meta":{"query_hash":"5e54dd3d9d0d","filters":{"venue":"Technologia Jurnal Ilmiah"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5e54dd3d9d0d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Technologia+Jurnal+Ilmiah"},"results":[{"id":"W2895869896","doi":"10.31602/tji.v9i1.1102","title":"APLIKASI M-LEARNING MATA PELAJARAN BAHASA INDONESIA MENGGUNAKAN ANDROID STUDIO","year":2018,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Learning Partnership","funders":"","keywords":"Humanities; Computer science; Art","score_opus":0.02934411731828555,"score_gpt":0.30718523457511665,"score_spread":0.2778411172568311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895869896","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":[0.9356696,0.0030925223,0.039502215,0.008929687,0.0044995537,0.0007414491,0.000010918454,0.0013220718,0.0062319976],"genre_scores_gemma":[0.8899758,0.0008451746,0.104519986,0.0005220883,0.0012555681,0.000072079085,0.000007701194,0.000065840904,0.0027357547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950942,0.00041748906,0.0009064185,0.0013200848,0.0009897398,0.001272109],"domain_scores_gemma":[0.9962476,0.00046290786,0.00065641064,0.0015834307,0.0006408625,0.00040882418],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020284806,0.0006544118,0.0007624816,0.00077291724,0.0010121191,0.0004695012,0.003126541,0.00074563606,0.00019372215],"category_scores_gemma":[0.0010606581,0.00060409034,0.00022341416,0.002178531,0.0010911428,0.00067713513,0.0010209079,0.0022756637,0.0012907699],"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":[0.00020643958,0.0017061317,0.11096781,0.00026657863,0.0006293693,0.00047198092,0.008586432,0.00001222701,0.03291062,0.095986925,0.013700828,0.73455465],"study_design_scores_gemma":[0.0069697467,0.010024896,0.3279214,0.0019921246,0.0006483711,0.002692839,0.009074955,0.0065089897,0.12508357,0.024902152,0.4788733,0.005307652],"about_ca_topic_score_codex":0.000038523398,"about_ca_topic_score_gemma":0.000021427566,"teacher_disagreement_score":0.72924703,"about_ca_system_score_codex":0.00028110069,"about_ca_system_score_gemma":0.0006714823,"threshold_uncertainty_score":0.99964106},"labels":[],"label_agreement":null},{"id":"W2936569492","doi":"10.31602/tji.v9i4.1537","title":"OPTIMASI MODEL KLASIFIKASI C4.5 DAN PARTICLE SWARM OPTIMIZATION UNTUK PREDIKSI SISWA BERMASALAH","year":2018,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Data Mining and Machine Learning Applications","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":"Institute of Particle Physics","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.02116555512425701,"score_gpt":0.2747728532495757,"score_spread":0.2536072981253187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936569492","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":[0.15841962,0.00038639535,0.82630676,0.006086753,0.00054340274,0.000559103,0.000046649202,0.0026647253,0.0049865786],"genre_scores_gemma":[0.7837498,0.0002441307,0.21187904,0.0004098963,0.0002851592,0.00011359332,0.00006277239,0.00007526554,0.0031803423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955712,0.0001389058,0.0009277774,0.0014461019,0.0007182677,0.0011977446],"domain_scores_gemma":[0.9958827,0.00013131426,0.0006398419,0.002470681,0.00053006876,0.00034538776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083330285,0.00062092295,0.00055568415,0.00037743294,0.0011030724,0.0006661273,0.003277837,0.0006600669,0.000048048165],"category_scores_gemma":[0.0005581603,0.0006199005,0.00018358252,0.002043158,0.0010297379,0.0010362573,0.0012314107,0.0013616194,0.00075263134],"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":[0.00016718073,0.0021870984,0.0078925835,0.00018154837,0.0004286177,0.00009251383,0.0038857686,0.6974357,0.015563614,0.09776095,0.027405676,0.1469988],"study_design_scores_gemma":[0.00074710796,0.000680339,0.00063027604,0.00013067978,0.00012136913,0.00010741316,0.00018182912,0.96808237,0.02170774,0.00083751563,0.006093642,0.00067972863],"about_ca_topic_score_codex":0.000062788575,"about_ca_topic_score_gemma":0.000012747789,"teacher_disagreement_score":0.62533015,"about_ca_system_score_codex":0.0002172175,"about_ca_system_score_gemma":0.0003740429,"threshold_uncertainty_score":0.9996252},"labels":[],"label_agreement":null},{"id":"W2973193225","doi":"10.31602/tji.v10i3.2232","title":"APLIKASI DATA PASIEN DAN PENENTUAN GIZI IBU HAMIL PADA PUSKESMAS SUNGAI TABUK","year":2019,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Public Health and Nutrition","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Medicine; Gynecology","score_opus":0.03968550385607194,"score_gpt":0.3043051276012261,"score_spread":0.26461962374515413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973193225","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":[0.9386576,0.013088504,0.00015816251,0.02950413,0.0029919897,0.002397657,0.00044488924,0.0013803807,0.011376697],"genre_scores_gemma":[0.9841264,0.005689181,0.0009963636,0.0014317916,0.0009906264,0.00006822999,0.0016383291,0.00013507484,0.0049240417],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99330336,0.00020184088,0.0014427986,0.0016786016,0.001241534,0.0021318758],"domain_scores_gemma":[0.99336094,0.00025226478,0.00070800266,0.004396835,0.00036717593,0.0009147664],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0018997915,0.00079985656,0.0013006455,0.0008738694,0.00040392048,0.00018243163,0.0027939354,0.0017254389,0.0007448711],"category_scores_gemma":[0.0013950082,0.0007253755,0.00022003298,0.0015608057,0.0005339599,0.0009016266,0.0011468974,0.0033611404,0.0031715117],"study_design_candidate":"not_applicable","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":[0.0018373487,0.0041052597,0.5256761,0.0036403646,0.0010261975,0.0017015653,0.00039009898,0.0000021447652,0.08110213,0.010889709,0.1789863,0.19064282],"study_design_scores_gemma":[0.010789889,0.0039711185,0.14837934,0.002278416,0.00072868564,0.0011933725,0.002914198,0.0013596338,0.015606144,0.0008515948,0.8102527,0.0016748764],"about_ca_topic_score_codex":0.00043079158,"about_ca_topic_score_gemma":0.000119941724,"teacher_disagreement_score":0.6312665,"about_ca_system_score_codex":0.00058355863,"about_ca_system_score_gemma":0.0012928433,"threshold_uncertainty_score":0.99957055},"labels":[],"label_agreement":null},{"id":"W3153274639","doi":"10.31602/tji.v12i2.4573","title":"PENERAPAN ALGORITMA K-MEANS CLUSTERING ANALYSIS PADA KASUS PENDERITA HIV/AIDS (STUDI KASUS KABUPATEN BANJAR)","year":2021,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","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":"WiLAN (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","score_opus":0.021149011494788542,"score_gpt":0.26902199164043883,"score_spread":0.2478729801456503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153274639","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":[0.103910856,0.00453493,0.8639317,0.012478676,0.0013543366,0.0005647905,0.00035677856,0.0033694068,0.009498486],"genre_scores_gemma":[0.86364543,0.0006572946,0.122704014,0.00029354062,0.00027600638,0.000104303734,0.00035044886,0.000088079236,0.011880849],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936274,0.00035250848,0.0012404856,0.0022600268,0.0010224727,0.0014970748],"domain_scores_gemma":[0.9943388,0.0002869684,0.0007061834,0.0037222414,0.0005577226,0.00038807286],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010609784,0.0008623331,0.0012695349,0.0011718187,0.0013079703,0.0011818268,0.0039656945,0.0007271858,0.00028625168],"category_scores_gemma":[0.0005472803,0.0008950602,0.0006987186,0.0073492867,0.00042500184,0.0006574523,0.0027591363,0.002424625,0.0007075632],"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":[0.00012879538,0.003224057,0.081042625,0.00046448942,0.012201763,0.0043323115,0.005364614,0.016269637,0.042692974,0.042609602,0.03533508,0.75633407],"study_design_scores_gemma":[0.0045273416,0.001656516,0.060346145,0.000623815,0.0065472247,0.0021414373,0.0076618944,0.75178576,0.019885086,0.0022653374,0.13715409,0.005405353],"about_ca_topic_score_codex":0.0004417114,"about_ca_topic_score_gemma":0.0003702302,"teacher_disagreement_score":0.75973463,"about_ca_system_score_codex":0.00033329625,"about_ca_system_score_gemma":0.00051656796,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null}]}