{"id":"W4417155087","doi":"10.33395/jmp.v14i2.15690","title":"Data Mining Untuk Memprediksi Penjualan","year":2025,"lang":"","type":"article","venue":"Jurnal Minfo Polgan","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Naive Bayes classifier; Informatics engineering; Pattern recognition (psychology); Classifier (UML)","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.001549101,0.0005348774,0.0005915456,0.0006005379,0.001020531,0.001504743,0.008249659,0.0002496928,0.0001496449],"category_scores_gemma":[0.0008667793,0.0005630355,0.0001394991,0.00187273,0.0002777429,0.001471039,0.005330635,0.001030505,0.000509424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151102,"about_ca_system_score_gemma":0.001218432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005007347,"about_ca_topic_score_gemma":0.0001257559,"domain_scores_codex":[0.9954783,0.0001909388,0.001086585,0.001613188,0.0006513076,0.0009796896],"domain_scores_gemma":[0.9928022,0.0005420689,0.0005168006,0.005527021,0.0001982506,0.0004136533],"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":[0.00003113344,0.0002923541,0.009147229,0.000126873,0.0003026861,0.00004294459,0.002275838,0.00008622606,0.0003253354,0.02867239,0.268111,0.690586],"study_design_scores_gemma":[0.0009320565,0.0001750064,0.02527329,0.0005615328,0.0002725535,0.0001059341,0.0004922277,0.2001708,0.0001704641,0.0004351987,0.7706895,0.0007213922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07204369,0.005171918,0.5691448,0.06824934,0.01078606,0.001325814,0.00301723,0.001304526,0.2689567],"genre_scores_gemma":[0.8969333,0.0002465479,0.05381908,0.003927475,0.001099085,0.00003831465,0.0008411193,0.00006203725,0.043033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8248897,"threshold_uncertainty_score":0.9996821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879283527059328,"score_gpt":0.3396085566312833,"score_spread":0.30081572136069,"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."}}