{"id":"W4285009242","doi":"10.36341/rabit.v7i2.2489","title":"IMPLEMENTASI ALGORITMA C4.5 UNTUK KLASIFIKASI PRODUK LARIS SEPEDA MOTOR HONDA PADA CV CENDANA MOTOR CEPIRING","year":2022,"lang":"id","type":"article","venue":"Rabit Jurnal Teknologi dan Sistem Informasi Univrab","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Humanities; 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":[0.002887681,0.00262673,0.001124142,0.001576818,0.0009238511,0.003898649,0.002970749,0.001552835,0.02097001],"category_scores_gemma":[0.006722623,0.0008987697,0.001720799,0.001346901,0.000489285,0.002227524,0.001148136,0.002272524,0.01040483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066461,"about_ca_system_score_gemma":0.003017763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289608,"about_ca_topic_score_gemma":0.009427647,"domain_scores_codex":[0.9980221,0.000293133,0.000272075,0.0004725717,0.0006811103,0.0002590134],"domain_scores_gemma":[0.9977497,0.0008539191,0.0001037214,0.0003009152,0.0008665702,0.0001251007],"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":[0.003647842,0.0008443828,0.006285788,0.001797081,0.0005190431,0.0007027222,0.00121751,0.0585196,0.04245209,0.006179649,0.08478498,0.7930493],"study_design_scores_gemma":[0.0004694776,0.0004261044,0.003901648,0.0002041769,0.0003572145,0.0004382067,0.0006522777,0.7430788,0.09165774,0.01002293,0.1485536,0.0002379723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03917355,0.001196055,0.758861,0.001134235,0.0008363103,0.001295712,0.005291343,0.1747752,0.01743661],"genre_scores_gemma":[0.161962,0.0008302275,0.8005333,0.000702924,0.0000862255,0.001130525,0.007691588,0.006502742,0.02056059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02097001,"threshold_uncertainty_score":0.07015169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035937868703847,"score_gpt":0.2628968829321344,"score_spread":0.242537504245096,"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."}}