{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007342076,0.0006478982,0.0006286955,0.0002580483,0.0009841203,0.001229944,0.002280253,0.0002094545,0.00001744947],"category_scores_gemma":[0.0004210011,0.0006632303,0.0002579787,0.001003457,0.0001655422,0.00171628,0.0009115881,0.0009996423,0.0002216874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195133,"about_ca_system_score_gemma":0.0004224966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211741,"about_ca_topic_score_gemma":0.00003933397,"domain_scores_codex":[0.9953807,0.0003205015,0.0009396668,0.001678928,0.0007443536,0.0009358409],"domain_scores_gemma":[0.996578,0.0001562545,0.0007368793,0.001549444,0.0001965121,0.0007828597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003670372,0.00229378,0.4146228,0.0005601209,0.0009948181,0.0005643155,0.03873504,0.003700136,0.07166754,0.0315207,0.05473224,0.3802415],"study_design_scores_gemma":[0.004879195,0.002102793,0.4772208,0.0003005973,0.0003589421,0.000574158,0.001409671,0.1479213,0.02527441,0.0001005709,0.336208,0.003649623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462435,0.000172939,0.02920876,0.01615132,0.0004767088,0.0008643279,0.00007898489,0.0009754173,0.005827995],"genre_scores_gemma":[0.9863641,0.0000357827,0.0106143,0.001235749,0.0005940241,0.0001910208,0.0004335702,0.00009876036,0.0004326492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3765918,"threshold_uncertainty_score":0.9998069,"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."}}