{"id":"W7131350920","doi":"10.62951/switch.v2i5.210","title":"Penggunaan Metode Rough Set Pada Pola Minat Dan Bakat Siswa Dalam Menentukan Tema P5","year":2024,"lang":"","type":"article","venue":"Switch Jurnal Sains dan Teknologi Informasi","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Theme (computing); Set (abstract data type); Field (mathematics); Data collection; Selection (genetic algorithm); Class (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003256801,0.001978282,0.002071376,0.00124685,0.001158477,0.001969016,0.002449274,0.001353061,0.001669064],"category_scores_gemma":[0.001851767,0.001710799,0.001203699,0.001765079,0.0006214672,0.001868682,0.001114218,0.003123945,0.0009253763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349279,"about_ca_system_score_gemma":0.001939322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006541613,"about_ca_topic_score_gemma":0.0003053323,"domain_scores_codex":[0.9892231,0.0005384838,0.00414677,0.001374853,0.0020136,0.002703188],"domain_scores_gemma":[0.9923419,0.001846825,0.001467187,0.00251801,0.0006213353,0.001204786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002419628,0.002188917,0.002722407,0.01692033,0.002612508,0.0007993411,0.1118392,0.0000977547,0.002017244,0.7254258,0.05636409,0.07877053],"study_design_scores_gemma":[0.002656184,0.001423425,0.001718076,0.003424335,0.001746819,0.002659762,0.0485734,0.01248246,0.009473303,0.04308983,0.8690995,0.003652927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567158,0.009604802,0.005597274,0.01167893,0.0128026,0.004491267,0.0003274984,0.002219031,0.1965628],"genre_scores_gemma":[0.946094,0.003174069,0.007352217,0.0009833761,0.001699496,0.0002417822,0.0004233255,0.000393696,0.03963798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127354,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06211404631008274,"score_gpt":0.3550404224569186,"score_spread":0.2929263761468359,"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."}}