{"id":"W2775142936","doi":"10.26798/jiko.2017.v2i1.53","title":"REKAYASA PROSES BISNIS PADA E-COMMERCE B2B–B2C MENGGUNAKAN SISTEM AFILIASI","year":2017,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business; Commerce; Revenue; E-commerce; Goods and services; The Internet; Mobile commerce; Marketing; Computer science; World Wide Web","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","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001086019,0.0005058323,0.0005363929,0.0003564761,0.001937066,0.004523301,0.004560415,0.0002022824,0.00002513185],"category_scores_gemma":[0.000221109,0.0004242544,0.0002648387,0.0003631497,0.000173905,0.01411159,0.002129722,0.0005823499,0.0004699447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542287,"about_ca_system_score_gemma":0.0002609882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005216463,"about_ca_topic_score_gemma":0.000008006893,"domain_scores_codex":[0.9962317,0.00007425289,0.001381175,0.0004087907,0.001044917,0.0008591568],"domain_scores_gemma":[0.9952531,0.0001348232,0.001355575,0.002459894,0.0003527439,0.0004438536],"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":[0.00009920864,0.0001851266,0.009502894,0.000489527,0.0002370573,0.0001030488,0.0146087,0.0003701126,0.0001889925,0.09833387,0.04223356,0.8336479],"study_design_scores_gemma":[0.002351337,0.0005484511,0.06218074,0.0004394275,0.00003556476,0.0005459323,0.0006412501,0.2056133,0.004803726,0.000411956,0.7208784,0.001549906],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1793023,0.0002078166,0.6183156,0.006562803,0.005755747,0.001544777,0.0001832183,0.001569116,0.1865586],"genre_scores_gemma":[0.9145893,0.000134552,0.07550341,0.007088734,0.0007830004,0.00006265657,0.0001954541,0.0000486682,0.001594235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.832098,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779365108493841,"score_gpt":0.2684174465620311,"score_spread":0.2406237954770927,"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."}}