{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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"},"query_hash":"60a0e8cc59f4","filters":{"venue":"ESTIMASI Journal of Statistics and Its Application"}},"results":[{"id":"W3119877664","doi":"10.20956/ejsa.v2i1.12504","title":"Model Regresi Data Panel Pada Kasus Infeksi Saluran Pernapasan Akut (ISPA) di Provinsi Nusa Tenggara Timur","year":2021,"lang":"en","type":"article","venue":"ESTIMASI Journal of Statistics and Its Application","topic":"Data Mining and Machine Learning Applications","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":"Encana (Canada)","funders":"","keywords":"Breastfeeding; Medicine; Panel data; Veterinary medicine; Geography; Statistics; Pediatrics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.06024073319120656,"gpt":0.3061986110506014,"spread":0.2459578778593948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000765,0.0001829394,0.0002614772,0.00008978153,0.0002540636,0.000298768,0.001079068,0.00006674208,0.000001757636],"category_scores_gemma":[0.0004396597,0.0001670144,0.00002746503,0.0002590584,0.00005225048,0.0006178092,0.0004653015,0.0003908244,0.000008902066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003339704,"about_ca_system_score_gemma":0.0003795206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000251495,"about_ca_topic_score_gemma":0.00001468913,"domain_scores_codex":[0.998306,0.00006635381,0.0005236528,0.0004680586,0.0004139925,0.0002219856],"domain_scores_gemma":[0.9974981,0.0002032155,0.0005550227,0.0009693503,0.0005711145,0.0002032021],"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":[0.00002725071,0.0003793143,0.002043241,0.0001355808,0.0000925167,0.00007482727,0.0008055446,0.008663471,0.01326194,0.2738774,0.01208137,0.6885575],"study_design_scores_gemma":[0.0004107107,0.00008832385,0.008582859,0.00004186033,0.00006135963,0.0002816516,0.0000289306,0.9742365,0.0003458398,0.003104684,0.01261533,0.0002019784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01461363,0.0005579445,0.9818213,0.002129833,0.00006988587,0.0001552503,0.0003790853,0.000043671,0.0002294019],"genre_scores_gemma":[0.7045983,0.0004462562,0.294103,0.0001747488,0.0001153496,0.00001296979,0.0003858404,0.00002100212,0.0001425267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.965573,"threshold_uncertainty_score":0.6810649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391359236","doi":"10.20956/ejsa.v5i1.12489","title":"Pendugaan Koefisien Regresi Logistik Biner Menggunakan Algoritma Least Angle Regression","year":2024,"lang":"en","type":"article","venue":"ESTIMASI Journal of Statistics and Its Application","topic":"Data Mining and Machine Learning Applications","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":"WiLAN (Canada)","funders":"","keywords":"Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01698570667548426,"gpt":0.2986374001698963,"spread":0.281651693494412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000535565,0.0001542305,0.0001897049,0.000186188,0.0001810647,0.0003063707,0.0004672981,0.0000587772,0.00001089215],"category_scores_gemma":[0.0001436617,0.0001192077,0.00003403391,0.0003354096,0.00005108326,0.0004210674,0.0001228777,0.0003292586,0.0000384201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003628763,"about_ca_system_score_gemma":0.0001014537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000020741,"about_ca_topic_score_gemma":0.000002351288,"domain_scores_codex":[0.9987435,0.0000465695,0.000405882,0.0003151738,0.0003106993,0.0001781833],"domain_scores_gemma":[0.998836,0.000198368,0.000276508,0.0003018335,0.0002282903,0.000158986],"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":[0.000006477281,0.00005572903,0.0001072597,0.00006151557,0.00002467339,0.00003038403,0.0003259201,0.0001780083,0.002111482,0.4197744,0.01777943,0.5595447],"study_design_scores_gemma":[0.0004334347,0.0004111348,0.006335138,0.000247876,0.00007621403,0.0006183861,0.00005486618,0.769424,0.0006191752,0.02802371,0.1933962,0.0003598564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001641327,0.00183537,0.9931566,0.002388381,0.0001904662,0.0001242028,0.00006874917,0.00007740575,0.0005175296],"genre_scores_gemma":[0.685241,0.0004595064,0.3132618,0.00007916898,0.0002344315,0.00001785276,0.0000712995,0.00002230314,0.000612633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.769246,"threshold_uncertainty_score":0.4861149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401193977","doi":"10.20956/ejsa.v5i2.27002","title":"Penerepan Analisis Diskriminan Kuadratik Robust Pada Klasifikasi Desa","year":2024,"lang":"en","type":"article","venue":"ESTIMASI Journal of Statistics and Its Application","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0292186796575529,"gpt":0.2359683622011642,"spread":0.2067496825436113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003714722,0.0001401682,0.000318535,0.0002138273,0.00009689287,0.0001752245,0.0001442171,0.00006794826,0.00004399382],"category_scores_gemma":[0.0000998741,0.0001396689,0.00006301568,0.0001487893,0.00005790838,0.0002933145,0.00002895709,0.000175694,0.00006225734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006440634,"about_ca_system_score_gemma":0.00003309557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008052475,"about_ca_topic_score_gemma":0.0000148665,"domain_scores_codex":[0.998779,0.000008623821,0.0007632389,0.0002246935,0.00004409604,0.0001803671],"domain_scores_gemma":[0.9991626,0.0001074671,0.0003839942,0.0001240984,0.00007354659,0.0001483668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001197134,0.00003958091,0.007747449,0.000131288,0.00005843246,0.000007989597,0.0002518977,0.0002654244,0.00009485977,0.9638519,0.002934851,0.02460438],"study_design_scores_gemma":[0.0008795862,0.0005623835,0.1304357,0.0001545612,0.0001510045,0.0002704044,0.0003123842,0.316835,0.0007319989,0.4372244,0.1116133,0.000829254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2517085,0.01883725,0.7224039,0.001907922,0.0005584097,0.0002444853,0.0009040675,0.00003219539,0.003403329],"genre_scores_gemma":[0.988365,0.001776631,0.009294879,0.00009706313,0.000269394,0.000008698906,0.0000282083,0.00002393708,0.0001362232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7366565,"threshold_uncertainty_score":0.5695534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}