{"id":"W4401465316","doi":"10.62951/bridge.v2i3.169","title":"Klasifikasi Tingkat Minat Belanja Online Melalui Media Sosial pada Masyarakat di Kota Binjai Meggunakan Algoritma K-Means","year":2024,"lang":"en","type":"article","venue":"Bridge","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Social media; Cluster analysis; Advertising; Computer science; Psychology; Business; Artificial intelligence; 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":[0.001122243,0.001253359,0.001212398,0.001963153,0.001278601,0.003834825,0.001001917,0.0008570809,0.01088646],"category_scores_gemma":[0.003240365,0.0004743492,0.001544664,0.002060731,0.0007757727,0.002626562,0.00115971,0.001365428,0.004699723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009351523,"about_ca_system_score_gemma":0.001359589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008406027,"about_ca_topic_score_gemma":0.01023769,"domain_scores_codex":[0.9991775,0.0001194108,0.00007995454,0.0002382181,0.0002719926,0.0001128207],"domain_scores_gemma":[0.9990178,0.0003977165,0.00009009505,0.0001044782,0.0003516903,0.00003814068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007796802,0.0002996607,0.011604,0.0006542711,0.0002753428,0.0003675415,0.0009922161,0.0364993,0.02011531,0.00836513,0.007872765,0.9121748],"study_design_scores_gemma":[0.0001308245,0.0006869012,0.04762606,0.0004399317,0.0007233946,0.002746051,0.004301858,0.7684003,0.05978139,0.03254256,0.0821804,0.0004403683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.230145,0.003458269,0.7373985,0.001635951,0.000667325,0.0003346356,0.001526798,0.003673471,0.02116],"genre_scores_gemma":[0.5782251,0.003341538,0.3914594,0.0003190968,0.0002237001,0.000393933,0.002434601,0.0006500839,0.02295253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01088646,"threshold_uncertainty_score":0.03641886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198607431905322,"score_gpt":0.283528820768833,"score_spread":0.2615427464497798,"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."}}