{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"0279dcc8d407","filters":{"venue":"JIKO (Jurnal Informatika dan Komputer)"}},"results":[{"id":"W2775142936","doi":"10.26798/jiko.2017.v2i1.53","title":"REKAYASA PROSES BISNIS PADA E-COMMERCE B2B–B2C MENGGUNAKAN SISTEM AFILIASI","year":2017,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business; Commerce; Revenue; E-commerce; Goods and services; The Internet; Mobile commerce; Marketing; Computer science; World Wide Web","authors":[{"name":"Febri Nova Lenti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02779365108493841,"gpt":0.2684174465620311,"spread":0.2406237954770927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292083,0.0008608642,0.000705,0.001925248,0.001308278,0.006693875,0.0006341312,0.001287488,0.02728908],"category_scores_gemma":[0.001742131,0.0002941747,0.0004181773,0.003125218,0.0009828714,0.00417193,0.001726889,0.001298439,0.01497925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008299983,"about_ca_system_score_gemma":0.001557966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184925,"about_ca_topic_score_gemma":0.0009930766,"domain_scores_codex":[0.9987977,0.0002587831,0.0001356728,0.0002520977,0.0004603867,0.00009545546],"domain_scores_gemma":[0.9988991,0.0003182584,0.0001063456,0.0001640662,0.0004331589,0.00007903795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000406877,0.0003251736,0.005064689,0.00168386,0.00008141559,0.001325522,0.001521917,0.002201367,0.01098404,0.1283741,0.03937592,0.8086551],"study_design_scores_gemma":[0.00005173088,0.0002451515,0.008152945,0.0009351753,0.0001087683,0.003399204,0.001576177,0.006750944,0.00680456,0.02610952,0.9457709,0.00009490495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09545121,0.07074134,0.08980663,0.007714318,0.002873963,0.0006451872,0.001653568,0.003102476,0.7280112],"genre_scores_gemma":[0.5378731,0.0772878,0.1313778,0.002194821,0.001800983,0.0007317326,0.004506305,0.0006940235,0.2435334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02728908,"threshold_uncertainty_score":0.09129113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2776085612","doi":"10.26798/jiko.2016.v1i1.11","title":"PENERAPAN PROFILE MATCHING UNTUK PENCARIAN SISWA SMP PENERIMA BEASISWA MISKIN DAN BERPRESTASI","year":2016,"lang":"id","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Physics; Philosophy","authors":[{"name":"Muhammad Taufik Irawan","is_ca":true},{"name":"Danny Kriestanto","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01696620437905162,"gpt":0.2460351563118545,"spread":0.2290689519328029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592057,0.00098528,0.00122117,0.00100252,0.0008015422,0.002213829,0.0008599332,0.00133502,0.02485634],"category_scores_gemma":[0.002985835,0.0005216753,0.001176352,0.001209417,0.0005127371,0.001904566,0.00138151,0.00193136,0.0107052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007155092,"about_ca_system_score_gemma":0.001630421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002329221,"about_ca_topic_score_gemma":0.002741071,"domain_scores_codex":[0.9982737,0.0002875065,0.0001730546,0.0003584326,0.0006968179,0.0002105068],"domain_scores_gemma":[0.9988701,0.000276199,0.0001711645,0.0002061522,0.0003781527,0.00009826713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00356245,0.0006943927,0.008419774,0.002531177,0.0002076044,0.002459421,0.0008051394,0.001892732,0.3303578,0.005285198,0.02623082,0.6175536],"study_design_scores_gemma":[0.0003590124,0.003747265,0.02155733,0.0008791021,0.0005542297,0.007565783,0.001511012,0.00830724,0.4120379,0.00610507,0.537128,0.0002481878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4322969,0.05605555,0.2882926,0.008573366,0.004495397,0.003928622,0.01195078,0.009150838,0.1852558],"genre_scores_gemma":[0.6718982,0.02112163,0.1539034,0.00609843,0.0005187945,0.001363038,0.008997389,0.001540807,0.1345583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485634,"threshold_uncertainty_score":0.08315283,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2779556253","doi":"10.26798/jiko.2016.v1i1.10","title":"PENERAPAN NAÃVE BAYES UNTUK PREDIKSI KELAYAKAN KREDIT","year":2016,"lang":"id","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Agricultural science; Environmental science","authors":[{"name":"Dedy Ahmad Kurniawan","is_ca":true},{"name":"Danny Kriestanto","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01193546187938579,"gpt":0.2459626361589483,"spread":0.2340271742795625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004964763,0.00156334,0.00130883,0.002646678,0.001196787,0.005451803,0.001763705,0.001601849,0.01169391],"category_scores_gemma":[0.02588432,0.0009013939,0.001589513,0.00196511,0.001232474,0.005328535,0.001430902,0.003252685,0.004416235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285397,"about_ca_system_score_gemma":0.002745664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547158,"about_ca_topic_score_gemma":0.02090403,"domain_scores_codex":[0.997261,0.0006207249,0.0002164848,0.0009422608,0.0007622911,0.0001971797],"domain_scores_gemma":[0.9890905,0.007899174,0.0004943047,0.0008774981,0.001459118,0.0001793907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000845233,0.0002626192,0.07374278,0.001025436,0.0006932718,0.0008205618,0.001423466,0.07293902,0.005136949,0.07071128,0.01675373,0.7556456],"study_design_scores_gemma":[0.0001284569,0.0004295816,0.04782672,0.001540064,0.0008853225,0.001778631,0.002253839,0.5289721,0.01023824,0.3255105,0.08006321,0.0003732508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1539931,0.01376302,0.7651796,0.009715849,0.001406293,0.0004814184,0.005361381,0.002433553,0.04766575],"genre_scores_gemma":[0.747234,0.006303596,0.1995932,0.001252007,0.0007652827,0.000396386,0.004168497,0.0004284344,0.03985861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01547158,"threshold_uncertainty_score":0.03912008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792327141","doi":"10.26798/jiko.2018.v3i1.84","title":"ANALISIS FAKTOR-FAKTOR PENERIMAAN DAN NIAT KEBERLANJUTAN PENGGUNAAN PORTAL AKADEMIK SIAKAD STMIK AKAKOM MENGGUNAKAN TAM SERTA MODEL DELONE DAN MCLEAN","year":2018,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"User satisfaction; Computer science; Information system; Knowledge management; Quality (philosophy); Information quality; Human–computer interaction; Engineering","authors":[{"name":"Sur Yanti","is_ca":true},{"name":"Henry Nugroho","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0176090942566686,"gpt":0.2451631503483451,"spread":0.2275540560916765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006078891,0.0008720958,0.000918748,0.003239587,0.000938851,0.004758397,0.0007657701,0.0007262927,0.03575097],"category_scores_gemma":[0.03610775,0.0003604101,0.0009689189,0.003154122,0.0008893484,0.002514987,0.001323911,0.001504945,0.005294549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196233,"about_ca_system_score_gemma":0.001615733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391988,"about_ca_topic_score_gemma":0.001681974,"domain_scores_codex":[0.9904563,0.003077468,0.0009793049,0.0009698546,0.003918284,0.000598775],"domain_scores_gemma":[0.9273173,0.05428464,0.005672656,0.002597867,0.009242258,0.000885365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001257248,0.0008354423,0.6943948,0.002108776,0.0006026918,0.001639804,0.009063263,0.001858854,0.001918821,0.007369091,0.01681624,0.2621351],"study_design_scores_gemma":[0.00009229626,0.001231269,0.8537883,0.001389696,0.001063782,0.002652703,0.03706427,0.01328824,0.008117909,0.004742268,0.07632399,0.0002453266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077171,0.002268465,0.008662219,0.001525186,0.0003505414,0.0009554292,0.003705842,0.0004242929,0.07439087],"genre_scores_gemma":[0.9781567,0.001157207,0.003619987,0.0001327022,0.0000535445,0.000558571,0.001396997,0.00005627621,0.01486808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03575097,"threshold_uncertainty_score":0.1195989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2771981070","doi":"10.26798/jiko.2017.v2i2.66","title":"IMPLEMENTASI WEBSITE PENCARIAN KOS DENGAN NoSQL","year":2017,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"NoSQL; Computer science; SQL; Database; Relational database; Relational database management system; Schema (genetic algorithms); Semi-structured data; World Wide Web; Information retrieval","authors":[{"name":"Danny Kriestanto","is_ca":true},{"name":"Alif Benden Arnado","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03351467991127182,"gpt":0.2850509913695077,"spread":0.2515363114582359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639318,0.000562467,0.0003901119,0.000721504,0.0008248582,0.003423277,0.001108313,0.0005078415,0.01734222],"category_scores_gemma":[0.002646962,0.0003843192,0.0005918666,0.0009001571,0.0004085964,0.004327716,0.001904598,0.00128426,0.007191701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005706893,"about_ca_system_score_gemma":0.001391084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864548,"about_ca_topic_score_gemma":0.001634461,"domain_scores_codex":[0.9983791,0.0002749836,0.0002216332,0.0002764537,0.0006466741,0.0002011059],"domain_scores_gemma":[0.9987803,0.0001699895,0.00007080115,0.0004181946,0.0004580402,0.0001025853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001223354,0.0009852943,0.01129282,0.001484583,0.000186186,0.001446552,0.003027121,0.003215753,0.03741889,0.1083052,0.1806223,0.6507919],"study_design_scores_gemma":[0.0001786634,0.0002410025,0.004813299,0.0003009081,0.0001380119,0.001085742,0.001296561,0.03711435,0.04050152,0.02945475,0.8847138,0.0001614514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.07452264,0.001712208,0.5460802,0.003010806,0.0009877455,0.001675883,0.01156268,0.1724614,0.1879864],"genre_scores_gemma":[0.4079295,0.002781603,0.3950864,0.001581117,0.0002866333,0.001440443,0.03774638,0.009999864,0.143148],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01734222,"threshold_uncertainty_score":0.05801547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288794301","doi":"10.26798/jiko.v5i2.645","title":"ANALISIS SENTIMEN PADA TWITTER TERHADAP PROGRAM KARTU PRA KERJA DENGAN RECURRENT NEURAL NETWORK","year":2021,"lang":"id","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Humanities; Art","authors":[{"name":"Rosit Sanusi","is_ca":false},{"name":"Femi Dwi Astuti","is_ca":false},{"name":"Indra Yatini Buryadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02684663541101455,"gpt":0.2788094299108612,"spread":0.2519627944998467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008347458,0.001192433,0.0005508943,0.001943544,0.0006883739,0.001705109,0.0006487296,0.000710497,0.007261083],"category_scores_gemma":[0.004796191,0.0002718766,0.000728888,0.00186733,0.0003243196,0.001803797,0.0006795627,0.001080983,0.003930707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007349874,"about_ca_system_score_gemma":0.0006482339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261117,"about_ca_topic_score_gemma":0.0150916,"domain_scores_codex":[0.9991699,0.0001005548,0.00007491504,0.0002160837,0.0003049154,0.0001335413],"domain_scores_gemma":[0.9985119,0.0005882854,0.0001393013,0.0001210515,0.0005692129,0.00007027068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001881169,0.0005108728,0.2162732,0.001685432,0.0005583856,0.001979862,0.002326206,0.03844628,0.03231505,0.004443423,0.07659417,0.6229858],"study_design_scores_gemma":[0.00006003914,0.000740061,0.3071716,0.0003570182,0.0006673876,0.001367885,0.00513496,0.5585004,0.03822206,0.006528285,0.08100384,0.000246428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8459427,0.004527248,0.07399579,0.003427301,0.001299308,0.0003933782,0.02013183,0.006775325,0.04350723],"genre_scores_gemma":[0.9447771,0.00144809,0.0155605,0.0003013625,0.0002042784,0.0002526342,0.01221696,0.000268253,0.0249708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261117,"threshold_uncertainty_score":0.02507555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2772995211","doi":"10.26798/jiko.2017.v2i1.57","title":"PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS","year":2017,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Process (computing); Social media; tf–idf; Information retrieval; Weighting; Word (group theory); Keyword extraction; Information extraction; Selection (genetic algorithm); World Wide Web; Artificial intelligence; Mathematics","authors":[{"name":"Luthfan Hadi Pramono","is_ca":true},{"name":"Cuk Subiyantoro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02767125856360691,"gpt":0.271732256020434,"spread":0.2440609974568271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424776,0.001651599,0.001267371,0.002810646,0.001338119,0.002720327,0.0008756259,0.0009509161,0.01833786],"category_scores_gemma":[0.00397837,0.0005092766,0.001042533,0.0043157,0.000485721,0.002566836,0.0008344981,0.001325827,0.01308348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576549,"about_ca_system_score_gemma":0.001659325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318393,"about_ca_topic_score_gemma":0.003589598,"domain_scores_codex":[0.9987429,0.000191907,0.000207287,0.0004036804,0.0003499715,0.0001043068],"domain_scores_gemma":[0.9983724,0.0007715816,0.00006408207,0.0001082555,0.0006541247,0.00002973024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004395671,0.0001005827,0.001299428,0.001555729,0.00009495595,0.000538733,0.0008252603,0.003598818,0.05158732,0.003825324,0.008162495,0.9279719],"study_design_scores_gemma":[0.0003635681,0.001070144,0.01804829,0.001018289,0.0008932349,0.007141138,0.005154526,0.2543088,0.2833753,0.04028918,0.3879067,0.000430981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03967915,0.004920327,0.9309915,0.000512398,0.0008362533,0.0003937589,0.003862557,0.006240558,0.0125635],"genre_scores_gemma":[0.1110472,0.004303341,0.8543562,0.0002083852,0.0002117605,0.0006214384,0.008406843,0.001438654,0.01940614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01833786,"threshold_uncertainty_score":0.06134629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}