{"id":"W4366420847","doi":"10.36595/jire.v6i1.726","title":"ALGORITMA APRIORI UNTUK MENENTUKAN PAKET PENJUALAN BARANG DI UMKM BINAAN DISPERINDAG KABUPATEN GROBOGAN","year":2023,"lang":"id","type":"article","venue":"Jurnal Informatika dan Rekayasa Elektronik","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; Physics; Computer science; Art","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":[0.003957457,0.001810951,0.001228407,0.001423943,0.001886811,0.009424695,0.001741289,0.002308845,0.02671547],"category_scores_gemma":[0.007314031,0.0006683491,0.001513077,0.001949518,0.000919938,0.008015594,0.002490022,0.002502344,0.01919936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316474,"about_ca_system_score_gemma":0.002311634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809827,"about_ca_topic_score_gemma":0.003275318,"domain_scores_codex":[0.9966615,0.0007935115,0.0003558679,0.0006913749,0.001187814,0.0003099894],"domain_scores_gemma":[0.9948916,0.001742533,0.0003807042,0.0008335655,0.001826924,0.0003245763],"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":[0.001801947,0.0008924829,0.01347776,0.003047975,0.000344265,0.001286497,0.003909154,0.004831626,0.04825822,0.03202061,0.04008823,0.8500412],"study_design_scores_gemma":[0.0003243172,0.002012718,0.01459646,0.001174803,0.0009829875,0.003782628,0.007506978,0.06619737,0.05492125,0.03002502,0.8181059,0.0003696489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1898271,0.02976202,0.460024,0.01863496,0.004029806,0.002367083,0.003364352,0.0117577,0.2802329],"genre_scores_gemma":[0.4571325,0.01700857,0.2831274,0.002907197,0.001392405,0.001013721,0.003998489,0.0009283214,0.2324914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02671547,"threshold_uncertainty_score":0.0893721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920207518470299,"score_gpt":0.2778728063360395,"score_spread":0.2586707311513365,"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."}}