{"id":"W4404592877","doi":"10.62951/switch.v2i4.210","title":"Penggunaan Metode Rough Set Pada Pola Minat Dan Bakat Siswa Dalam Menentukan Tema P5","year":2024,"lang":"en","type":"article","venue":"Switch Jurnal Sains dan Teknologi Informasi","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":"Theme (computing); Competence (human resources); Data collection; Set (abstract data type); Psychology; Mathematics education; Computer science; Sociology; Social science; Social psychology; World Wide Web","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":[0.003385728,0.0007978901,0.001471852,0.002526526,0.0009866942,0.003609735,0.0008067783,0.0006585267,0.003170075],"category_scores_gemma":[0.007821978,0.0004545015,0.001645514,0.002137691,0.000742481,0.001812329,0.001210348,0.001134431,0.0006702435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256558,"about_ca_system_score_gemma":0.002460136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004342326,"about_ca_topic_score_gemma":0.003510744,"domain_scores_codex":[0.9969813,0.001114397,0.00042438,0.0004851351,0.0008415917,0.0001531429],"domain_scores_gemma":[0.9959123,0.002627042,0.0003237179,0.0002708908,0.0007900603,0.00007594396],"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":[0.0007088598,0.0002798078,0.01504329,0.002440393,0.0006286292,0.000656853,0.001803102,0.2377717,0.01036211,0.05097657,0.007186306,0.6721424],"study_design_scores_gemma":[0.0001382205,0.0009117147,0.0222114,0.0007379205,0.00048525,0.001093516,0.003200478,0.777045,0.01916698,0.1192055,0.05550217,0.000301817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09150818,0.002397283,0.8925266,0.001148937,0.0002040587,0.0004590406,0.001281104,0.0005238265,0.009950868],"genre_scores_gemma":[0.4771399,0.001856617,0.5139917,0.0001519896,0.00009995309,0.0008556794,0.001555583,0.0001088044,0.00423975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004342326,"threshold_uncertainty_score":0.01790565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167648249099749,"score_gpt":0.2807323547552811,"score_spread":0.2639675298453062,"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."}}