{"meta":{"query_hash":"8d7ca7458349","filters":{"venue":"Jurnal Penelitian Teknologi Informasi dan Sains"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/8d7ca7458349","api":"https://metacan.xera.ac/api/v1/cohort?venue=Jurnal+Penelitian+Teknologi+Informasi+dan+Sains"},"results":[{"id":"W4402396375","doi":"10.54066/jptis.v2i3.2378","title":"Pengelompokan Data Rekam Medis pada Pasien Penyakit dalam Untuk Meningkatkan Manajemen Informasi Kesehatan Berdasarkan Wilayah Kota Binjai Menggunakan Algoritma Clustering K- Means","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Data Mining and Machine Learning Applications","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Medicine; Computer science; Artificial intelligence","score_opus":0.03144444726078466,"score_gpt":0.2944329510787421,"score_spread":0.26298850381795746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402396375","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":[0.23909716,0.016036283,0.5994897,0.010279426,0.0025304563,0.0012444366,0.012317329,0.013316923,0.10568836],"genre_scores_gemma":[0.53524643,0.012759383,0.33950794,0.0009670335,0.000597732,0.0007627307,0.013543593,0.0010930329,0.09552216],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988544,0.0001878601,0.00013338667,0.0002747925,0.0004562065,0.00009343201],"domain_scores_gemma":[0.99808735,0.0006225006,0.00012639789,0.00031791523,0.0007594933,0.00008640229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015093675,0.00094822014,0.000982759,0.0018740695,0.0012164668,0.0045770505,0.0010073239,0.00080573227,0.014901344],"category_scores_gemma":[0.0035140805,0.0005053797,0.00090267626,0.0032561293,0.0006853757,0.0037926536,0.001795991,0.0015769363,0.0067557544],"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":[0.0011940483,0.00035706337,0.008823665,0.0018173347,0.0002666046,0.00088371924,0.002915049,0.016505964,0.022071088,0.01703202,0.030675082,0.8974584],"study_design_scores_gemma":[0.00030467575,0.0011133241,0.034916826,0.001145912,0.00071131036,0.003642298,0.011746773,0.15679406,0.09062549,0.054392304,0.6439873,0.0006197755],"about_ca_topic_score_codex":0.005110276,"about_ca_topic_score_gemma":0.0051520364,"teacher_disagreement_score":0.014901344,"about_ca_system_score_codex":0.0008694034,"about_ca_system_score_gemma":0.00198354,"threshold_uncertainty_score":0.049849927},"labels":[],"label_agreement":null},{"id":"W4402396493","doi":"10.54066/jptis.v2i3.2382","title":"Application of Clustering Methods on Sexual Harassment Cases","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Computational and Text Analysis Methods","field":"Social Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Harassment; Cluster analysis; Psychology; Computer science; Social psychology; Artificial intelligence","score_opus":0.0635895238062754,"score_gpt":0.435802601567955,"score_spread":0.37221307776167956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402396493","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":[0.8002063,0.0018673022,0.1700671,0.0024341291,0.0006983907,0.0020994034,0.007804511,0.0018686855,0.012954276],"genre_scores_gemma":[0.8405919,0.00051266403,0.14822486,0.00009558649,0.0001415205,0.0005748767,0.0070233974,0.00010127923,0.002733924],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995203,0.0022717104,0.0005335481,0.000801646,0.0009268383,0.0002633151],"domain_scores_gemma":[0.98416555,0.010247178,0.0009450218,0.0009873151,0.003337264,0.00031765067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047308807,0.0009317137,0.00075506663,0.011144329,0.0020885426,0.0019236534,0.0012538788,0.0012318816,0.0023641393],"category_scores_gemma":[0.02120128,0.00026541497,0.0014091992,0.0056383144,0.0005718368,0.0009230742,0.0012199426,0.0010652783,0.0007783081],"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":[0.0010260717,0.0017181296,0.1376001,0.0015799309,0.0010928181,0.0016323335,0.0066663288,0.12135451,0.0039053222,0.00791554,0.032003567,0.68350536],"study_design_scores_gemma":[0.00011395936,0.00035764216,0.087907195,0.0003805143,0.0004618445,0.0006621554,0.011355012,0.8619819,0.0068032867,0.014485125,0.015308039,0.00018334623],"about_ca_topic_score_codex":0.016743988,"about_ca_topic_score_gemma":0.014124127,"teacher_disagreement_score":0.016743988,"about_ca_system_score_codex":0.0017185654,"about_ca_system_score_gemma":0.0016270656,"threshold_uncertainty_score":0.03329307},"labels":[],"label_agreement":null},{"id":"W4402396503","doi":"10.54066/jptis.v2i3.2381","title":"Pengelompokan Data Keluhan Masyarakat Terhadap Fasilitas Umum diKota Binjai Menggunakan Metode Clustering","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Data Mining and Machine Learning Applications","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Mathematics; Statistics","score_opus":0.04054197551269858,"score_gpt":0.3077262751672757,"score_spread":0.26718429965457713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402396503","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":[0.38473898,0.0049249223,0.4678413,0.0030716294,0.0014130742,0.0011432646,0.04320472,0.017100714,0.07656144],"genre_scores_gemma":[0.5955852,0.002360126,0.31651503,0.00025828314,0.00013585096,0.00084417977,0.048869338,0.0018420707,0.033589933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986779,0.00018006862,0.00012928336,0.0003584184,0.00051239564,0.00014190607],"domain_scores_gemma":[0.9984268,0.0004763052,0.00007341534,0.00021752267,0.0007417685,0.00006424391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011632,0.0009971429,0.0010135556,0.0022189822,0.0011122995,0.0025858248,0.0011342241,0.0007725776,0.012286387],"category_scores_gemma":[0.0035414165,0.00044984062,0.0008521837,0.0038661337,0.00040381786,0.003056269,0.0016565282,0.0012688169,0.005216044],"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":[0.0014125201,0.00056446757,0.018608851,0.001982284,0.00022844298,0.0011546534,0.0045216037,0.030721586,0.022062384,0.011447428,0.042901393,0.8643944],"study_design_scores_gemma":[0.00023687145,0.000591452,0.059490114,0.00093690737,0.0004102792,0.0022534174,0.022142535,0.39834747,0.07270974,0.033208646,0.40905154,0.00062109146],"about_ca_topic_score_codex":0.01287679,"about_ca_topic_score_gemma":0.014627886,"teacher_disagreement_score":0.01287679,"about_ca_system_score_codex":0.0007205606,"about_ca_system_score_gemma":0.00136015,"threshold_uncertainty_score":0.04110211},"labels":[],"label_agreement":null},{"id":"W4402423151","doi":"10.54066/jptis.v2i3.2349","title":"Penentuan Kelayakan Pemberian Bantuan BBM pada Nelayan menggunakan Metode Vikor","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Mathematics; Physics","score_opus":0.01808995624335979,"score_gpt":0.22478018046496906,"score_spread":0.20669022422160926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402423151","genre_codex":"other","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":[0.24556395,0.04718991,0.009065205,0.013692788,0.004332119,0.00022413039,0.0018792894,0.00067008287,0.6773826],"genre_scores_gemma":[0.5559691,0.030118369,0.014075211,0.0012274606,0.00032322848,0.00023343704,0.0011437853,0.00024340255,0.39666593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981743,0.000029306597,0.0000111067275,0.000056117242,0.00004580095,0.000040366616],"domain_scores_gemma":[0.99981457,0.000073791605,0.000019885834,0.000012983099,0.00005072121,0.000028007385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038395025,0.00060297706,0.00041805298,0.00045470046,0.0015304616,0.002104372,0.00037911558,0.00062129926,0.04456711],"category_scores_gemma":[0.0006067976,0.0003107041,0.00020855453,0.0007012723,0.00058644,0.0010004382,0.0009393512,0.001171948,0.008740061],"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":[0.0008460206,0.00032974957,0.015169392,0.0039718742,0.00007123402,0.007223081,0.009491102,0.001805869,0.021293819,0.08192382,0.084140934,0.77373314],"study_design_scores_gemma":[0.000049909177,0.00018747605,0.022929655,0.0010631892,0.000042867287,0.003633024,0.006985115,0.00089613826,0.0071139396,0.0048160874,0.9522288,0.000053820673],"about_ca_topic_score_codex":0.0038975726,"about_ca_topic_score_gemma":0.007035071,"teacher_disagreement_score":0.04456711,"about_ca_system_score_codex":0.0010926115,"about_ca_system_score_gemma":0.0022017835,"threshold_uncertainty_score":0.14909184},"labels":[],"label_agreement":null},{"id":"W4402423161","doi":"10.54066/jptis.v2i3.2379","title":"Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Management and Optimization Techniques","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","score_opus":0.016772300094373423,"score_gpt":0.2360556135622792,"score_spread":0.21928331346790578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402423161","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":[0.0877965,0.011626083,0.87723994,0.0035754228,0.0008413149,0.0008611585,0.003068774,0.0044202567,0.010570528],"genre_scores_gemma":[0.35654917,0.005060425,0.62232363,0.0006805634,0.00050325465,0.00096172496,0.0059276917,0.00019803862,0.00779555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973558,0.00088146824,0.0004162455,0.00054879993,0.0006157567,0.00018193785],"domain_scores_gemma":[0.99483335,0.0035533053,0.00030036803,0.0002830993,0.00093509286,0.00009472091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050604357,0.0022059681,0.0022966561,0.002012084,0.00080747285,0.0037360874,0.0016423246,0.0010828149,0.0061928285],"category_scores_gemma":[0.008655877,0.00065397413,0.0017644226,0.002201089,0.00045171974,0.0036301888,0.0009572834,0.0023206496,0.0035432342],"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":[0.0030649325,0.0008444064,0.010524449,0.0013605026,0.0008174498,0.0010810448,0.0004448008,0.12137212,0.008616092,0.012670144,0.017301556,0.8219025],"study_design_scores_gemma":[0.00020613456,0.00072221574,0.0020514412,0.00019400097,0.00022178987,0.0010308695,0.00038075284,0.95737886,0.008449985,0.015247749,0.0140558975,0.000060358434],"about_ca_topic_score_codex":0.0025388193,"about_ca_topic_score_gemma":0.0022085612,"teacher_disagreement_score":0.0061928285,"about_ca_system_score_codex":0.00068136625,"about_ca_system_score_gemma":0.0022164825,"threshold_uncertainty_score":0.026762426},"labels":[],"label_agreement":null},{"id":"W4402423213","doi":"10.54066/jptis.v2i3.2380","title":"Penerapan Metode Bayes untuk Mendiagnosa Penyakit Saraf Kejepit","year":2024,"lang":"en","type":"article","venue":"Jurnal Penelitian Teknologi Informasi dan Sains","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Mathematics","score_opus":0.013870255732707806,"score_gpt":0.27537412040487513,"score_spread":0.26150386467216735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402423213","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":[0.022094581,0.010971381,0.90836203,0.0040492094,0.0018165766,0.00021943933,0.0030402383,0.008474841,0.04097166],"genre_scores_gemma":[0.29136777,0.0076106424,0.6245219,0.0013304816,0.0011970378,0.0005874294,0.004301219,0.001981325,0.06710227],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984256,0.00050108007,0.000099180885,0.00045294093,0.00036132702,0.00015995957],"domain_scores_gemma":[0.9959919,0.0027677375,0.00020977478,0.00024202933,0.0006904387,0.00009811938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025371981,0.0013910036,0.0013568068,0.0026464036,0.0010860184,0.0033355926,0.0013646765,0.0015479524,0.038537815],"category_scores_gemma":[0.014086482,0.0007218262,0.0012060662,0.0012153346,0.0010377661,0.0023337656,0.0012661417,0.0019229413,0.012084499],"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":[0.001427087,0.00014158983,0.006506133,0.0010632077,0.00039265145,0.0021605599,0.0004689162,0.044004723,0.00527686,0.12015998,0.035388842,0.7830095],"study_design_scores_gemma":[0.00040177966,0.00031710422,0.0047230935,0.0011912344,0.00039495356,0.0060315854,0.00050144637,0.5437269,0.016302692,0.2467821,0.17926176,0.00036538206],"about_ca_topic_score_codex":0.007107535,"about_ca_topic_score_gemma":0.004668053,"teacher_disagreement_score":0.038537815,"about_ca_system_score_codex":0.0011783588,"about_ca_system_score_gemma":0.0021041718,"threshold_uncertainty_score":0.12892187},"labels":[],"label_agreement":null}]}