{"meta":{"query_hash":"c3fd0cc138f3","filters":{"venue":"Jurnal Kajian dan Penelitian Umum"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/c3fd0cc138f3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Jurnal+Kajian+dan+Penelitian+Umum"},"results":[{"id":"W4402318875","doi":"10.47861/jkpu-nalanda.v2i5.1287","title":"Prediksi Disleksia pada Anak menggunakan Metode Naive Bayes","year":2024,"lang":"en","type":"article","venue":"Jurnal Kajian dan Penelitian Umum","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":"Naive Bayes classifier; Psychology; Computer science; Artificial intelligence; Support vector machine","score_opus":0.010308268511159827,"score_gpt":0.26898512650521045,"score_spread":0.2586768579940506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402318875","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":[0.09260558,0.012223322,0.8623696,0.002777707,0.0010596431,0.00049835985,0.0019719785,0.0031929133,0.023300992],"genre_scores_gemma":[0.53046817,0.0056392695,0.44161823,0.0008408806,0.0004887854,0.00055376557,0.0032148107,0.00037790803,0.016798178],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984005,0.00044278338,0.00025349652,0.0003971595,0.00037286276,0.00013318373],"domain_scores_gemma":[0.99718034,0.0018493907,0.00014285499,0.000111495414,0.00066971354,0.000046128866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022747966,0.0011167858,0.0013161371,0.0015916661,0.00090578647,0.0031664064,0.00092908484,0.0011761071,0.009189408],"category_scores_gemma":[0.007156515,0.00054504204,0.000950662,0.001055285,0.0005377977,0.0023429997,0.00071020593,0.001401547,0.0032874967],"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":[0.00086605194,0.0002869729,0.014225782,0.0014291316,0.00033470846,0.0007309516,0.0005227439,0.04910863,0.007823497,0.020331664,0.015671395,0.88866854],"study_design_scores_gemma":[0.00023156515,0.00047055885,0.010021061,0.0014701942,0.00048759393,0.0029893927,0.0010954216,0.8234277,0.017211063,0.091588944,0.050776683,0.00022979794],"about_ca_topic_score_codex":0.0044455254,"about_ca_topic_score_gemma":0.0034017493,"teacher_disagreement_score":0.009189408,"about_ca_system_score_codex":0.00080752245,"about_ca_system_score_gemma":0.0014228853,"threshold_uncertainty_score":0.030741572},"labels":[],"label_agreement":null}]}