{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292083,0.0008608642,0.000705,0.001925248,0.001308278,0.006693875,0.0006341312,0.001287488,0.02728908],"category_scores_gemma":[0.001742131,0.0002941747,0.0004181773,0.003125218,0.0009828714,0.00417193,0.001726889,0.001298439,0.01497925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008299983,"about_ca_system_score_gemma":0.001557966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184925,"about_ca_topic_score_gemma":0.0009930766,"domain_scores_codex":[0.9987977,0.0002587831,0.0001356728,0.0002520977,0.0004603867,0.00009545546],"domain_scores_gemma":[0.9988991,0.0003182584,0.0001063456,0.0001640662,0.0004331589,0.00007903795],"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":[0.000406877,0.0003251736,0.005064689,0.00168386,0.00008141559,0.001325522,0.001521917,0.002201367,0.01098404,0.1283741,0.03937592,0.8086551],"study_design_scores_gemma":[0.00005173088,0.0002451515,0.008152945,0.0009351753,0.0001087683,0.003399204,0.001576177,0.006750944,0.00680456,0.02610952,0.9457709,0.00009490495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09545121,0.07074134,0.08980663,0.007714318,0.002873963,0.0006451872,0.001653568,0.003102476,0.7280112],"genre_scores_gemma":[0.5378731,0.0772878,0.1313778,0.002194821,0.001800983,0.0007317326,0.004506305,0.0006940235,0.2435334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02728908,"threshold_uncertainty_score":0.09129113,"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."}}