{"id":"W3120311022","doi":"10.51903/e-bisnis.v13i1.282","title":"PENGGUNAAN ASSOSIATION RULE MINING DALAM PENETAPAN HARGA PROMOSI, STOK, DAN PENATAAN PRODUK PADA ETALASE","year":2020,"lang":"en","type":"article","venue":"E-Bisnis Jurnal Ilmiah Ekonomi dan Bisnis","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Product (mathematics); Quarter (Canadian coin); Promotion (chess); Marketing; Advertising; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002185855,0.001412585,0.001522156,0.003056507,0.0008647788,0.002728792,0.001546546,0.0007928711,0.006246975],"category_scores_gemma":[0.003990773,0.0006115487,0.001509633,0.00327106,0.0004451944,0.002072652,0.0008781287,0.00132416,0.004831356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864724,"about_ca_system_score_gemma":0.001431581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005340844,"about_ca_topic_score_gemma":0.005771933,"domain_scores_codex":[0.9982023,0.0002704874,0.0002793795,0.0004670814,0.000659515,0.000121197],"domain_scores_gemma":[0.9976574,0.001021519,0.0002067111,0.0002075106,0.0008383784,0.0000685262],"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":[0.0005752183,0.0006114274,0.01322545,0.001349676,0.0003172189,0.001551014,0.0003137304,0.01470036,0.007831332,0.003067216,0.0192607,0.9371967],"study_design_scores_gemma":[0.0003717498,0.001710527,0.04976744,0.001459952,0.001380209,0.007044108,0.002718811,0.5422432,0.1044136,0.02426373,0.2641897,0.0004368914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2804941,0.02294337,0.5929893,0.004091059,0.001874604,0.001758172,0.02055005,0.01375037,0.06154905],"genre_scores_gemma":[0.4820292,0.01122054,0.4479633,0.0007226063,0.0002658467,0.0007808388,0.02058934,0.0004745765,0.03595388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006246975,"threshold_uncertainty_score":0.02089822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305089064810728,"score_gpt":0.2503542801341849,"score_spread":0.2273033894860776,"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."}}