{"meta":{"query_hash":"b96fc426c43c","filters":{"venue":"JURNAL MAHAJANA INFORMASI"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/b96fc426c43c","api":"https://metacan.xera.ac/api/v1/cohort?venue=JURNAL+MAHAJANA+INFORMASI"},"results":[{"id":"W2955984222","doi":"10.51544/jurnalmi.v4i1.727","title":"PENERAPAN DATA MINING PENGELOMPOKKAN PENYAKIT MENULAR SEKSUAL (PMS) MENGGUNAKAN METODE CLUSTERING","year":2019,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","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":"Gynecology; Medicine","score_opus":0.07113753431188254,"score_gpt":0.3654935589987394,"score_spread":0.2943560246868569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955984222","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":[0.109036,0.008764122,0.84378487,0.00244581,0.000552395,0.0012513151,0.013711661,0.007018843,0.013434993],"genre_scores_gemma":[0.3515181,0.0057283277,0.5969081,0.0006045193,0.00023158512,0.0012916244,0.025885457,0.00063722697,0.017195033],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981406,0.0003172628,0.00024189266,0.00064333674,0.000514823,0.0001421154],"domain_scores_gemma":[0.9982882,0.0006571817,0.00011151629,0.00018354692,0.00068765506,0.00007193685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015240613,0.0014145573,0.0017568208,0.0035229279,0.0009914596,0.002665807,0.001646599,0.0012371653,0.003282468],"category_scores_gemma":[0.0039038346,0.00060801016,0.0020324818,0.0035748172,0.00037479974,0.0023024827,0.0014127654,0.0014079423,0.002123151],"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":[0.000626511,0.0005237621,0.020030215,0.0020389273,0.00067293644,0.00056278764,0.00071371655,0.062261913,0.015144659,0.006153499,0.025079245,0.86619174],"study_design_scores_gemma":[0.0001074746,0.000376738,0.01893999,0.0004603607,0.00033785182,0.0010404271,0.0013628439,0.869218,0.025718888,0.019072926,0.06321405,0.00015050941],"about_ca_topic_score_codex":0.009818052,"about_ca_topic_score_gemma":0.009875295,"teacher_disagreement_score":0.009818052,"about_ca_system_score_codex":0.00092343043,"about_ca_system_score_gemma":0.0020823216,"threshold_uncertainty_score":0.019521773},"labels":[],"label_agreement":null},{"id":"W3135417175","doi":"10.51544/jurnalmi.v5i1.1190","title":"Penerapan Fuzzy Mamdani Dengan Particle Swarm Optimization (PSO) dan MAPE (Mean Absolute Percentage Error) Pada Penilaian Kinerja Pegawai","year":2020,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","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":"Humanities; Mathematics; Art","score_opus":0.02568928399654267,"score_gpt":0.2595295183230668,"score_spread":0.23384023432652415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135417175","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":[0.060456585,0.0056745927,0.8987965,0.0013365468,0.00070919964,0.00023622117,0.0004536162,0.001930823,0.03040596],"genre_scores_gemma":[0.6535125,0.005206654,0.29919037,0.0005155782,0.00022204452,0.00040569904,0.0007809135,0.00020156491,0.039964635],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999419,0.0001053111,0.0000469831,0.0001545999,0.00020496965,0.00006925697],"domain_scores_gemma":[0.9993863,0.00022035667,0.000073903924,0.00003994886,0.00025004186,0.00002943673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009430543,0.0012275617,0.0013682591,0.0009782941,0.0007807457,0.0021030577,0.00094270403,0.0013763811,0.004419769],"category_scores_gemma":[0.001812268,0.0003952101,0.0012610182,0.0010048002,0.0005083343,0.0013697272,0.0006966296,0.001260137,0.0012535368],"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":[0.00054212945,0.00023547694,0.00494818,0.0013511617,0.0003292179,0.0005720019,0.00039752218,0.37914467,0.03173504,0.012170492,0.011484359,0.5570897],"study_design_scores_gemma":[0.000058245343,0.00031430039,0.0043580695,0.0001325474,0.0001507357,0.00031146218,0.00026254726,0.9539551,0.014218246,0.006393846,0.019755377,0.000089535635],"about_ca_topic_score_codex":0.010278149,"about_ca_topic_score_gemma":0.008710092,"teacher_disagreement_score":0.010278149,"about_ca_system_score_codex":0.00078209647,"about_ca_system_score_gemma":0.0013988807,"threshold_uncertainty_score":0.020436645},"labels":[],"label_agreement":null},{"id":"W4401636466","doi":"10.51544/jurnalmi.v5i1.1197","title":"PENERAPAN DATA MINING KORELASI UMUR, PANGKAT DAN PENDIDIKAN TERHADAP JABATAN PADA POLRES BINJAI MENGGUNAKAN METODE ALGORITMA APRIORI","year":2020,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","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":"Computer science; Mathematics","score_opus":0.059936757247500014,"score_gpt":0.2953231961000846,"score_spread":0.2353864388525846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401636466","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":[0.08395122,0.012393613,0.8528891,0.0068893638,0.0007145055,0.0010374828,0.0081022475,0.0064507085,0.02757181],"genre_scores_gemma":[0.35926968,0.009164184,0.59125334,0.0013198646,0.0005301135,0.000972273,0.01073007,0.0006747914,0.026085643],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99407095,0.0013548526,0.00082460727,0.0014541415,0.0019734902,0.0003218646],"domain_scores_gemma":[0.9896549,0.0052458914,0.00085013104,0.001244245,0.0027339438,0.00027081766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00642311,0.0024932104,0.0020236184,0.004802559,0.0015165891,0.00799621,0.0025751977,0.0019517776,0.0064918143],"category_scores_gemma":[0.015803944,0.0009927597,0.0029010496,0.0058819246,0.0009515601,0.0073637967,0.0029429358,0.0028754976,0.0059944005],"study_design_candidate":"observational","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":[0.0008490061,0.0005715812,0.032687012,0.0032855952,0.0008393126,0.0010958649,0.0020199772,0.03062113,0.020822804,0.025374474,0.0199438,0.8618895],"study_design_scores_gemma":[0.00019544836,0.0013262487,0.032000553,0.002178259,0.0012137546,0.0039869165,0.007607288,0.48431113,0.08460422,0.12575403,0.25640824,0.00041392678],"about_ca_topic_score_codex":0.0052042133,"about_ca_topic_score_gemma":0.0056316745,"teacher_disagreement_score":0.00799621,"about_ca_system_score_codex":0.0016135804,"about_ca_system_score_gemma":0.003208584,"threshold_uncertainty_score":0.033969104},"labels":[],"label_agreement":null}]}