{"id":"W4404337160","doi":"10.61132/saturnus.v2i4.364","title":"Penerapan Metode Naïve Bayes untuk Memprediksi Tingkat Kesehatan Mental Siswa Menjelang Akhir Masa Sekolah","year":2024,"lang":"en","type":"article","venue":"Saturnus","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Psychology; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002034012,0.001231293,0.00166125,0.001030116,0.001029454,0.002353109,0.001010864,0.001249012,0.01185112],"category_scores_gemma":[0.004662818,0.0006359645,0.00136463,0.0007078666,0.0004176138,0.002060969,0.0007233749,0.001886208,0.003188073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006887978,"about_ca_system_score_gemma":0.001658918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010614,"about_ca_topic_score_gemma":0.00904404,"domain_scores_codex":[0.999246,0.0002327523,0.0001014434,0.0002022853,0.000119533,0.00009805561],"domain_scores_gemma":[0.9979936,0.001392479,0.00004946036,0.00005297392,0.0004585274,0.00005299434],"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":[0.001079961,0.0004279848,0.008008679,0.0006559718,0.000429538,0.0005827788,0.0004804678,0.08770648,0.005718962,0.005563177,0.01038287,0.8789631],"study_design_scores_gemma":[0.0001098244,0.0003095103,0.003989726,0.0003521259,0.0002683321,0.0004730202,0.0004759815,0.9701716,0.00499142,0.01216327,0.006608985,0.00008619572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851007,0.01593132,0.7665361,0.004331424,0.002279104,0.0006726145,0.00175732,0.002615406,0.02077611],"genre_scores_gemma":[0.7141857,0.005192308,0.2538224,0.001024187,0.000667127,0.0005123774,0.002508998,0.0003284373,0.02175864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01185112,"threshold_uncertainty_score":0.03964591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007202501419436377,"score_gpt":0.2626098753072627,"score_spread":0.2554073738878263,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}