{"id":"W4381804968","doi":"10.31764/jmm.v6i6.11216","title":"OPTIMALISASI PEMASARAN DIGITAL BERBASIS MEDIA SOSIAL UNTUK MENINGKATKAN PENJUALAN UMKM","year":2022,"lang":"id","type":"article","venue":"JMM (Jurnal Masyarakat Mandiri)","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business; Business administration; Digital era; Computer science; The Internet; 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":[0.001993703,0.000734408,0.0004176686,0.001032165,0.001648918,0.006966732,0.0009523414,0.001257952,0.05589568],"category_scores_gemma":[0.004034963,0.0003764419,0.0005183178,0.0008928903,0.0008594627,0.004052875,0.003098227,0.001571908,0.009108149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003011613,"about_ca_system_score_gemma":0.00566056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007628884,"about_ca_topic_score_gemma":0.01681308,"domain_scores_codex":[0.9982621,0.0004605873,0.00007836419,0.0002634943,0.0006903489,0.0002450408],"domain_scores_gemma":[0.9972071,0.0009092913,0.0001922926,0.0002387956,0.001005044,0.0004473742],"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":[0.0008673328,0.001264144,0.02309662,0.003120972,0.0001438894,0.0007991113,0.007331047,0.01068288,0.02081947,0.1589801,0.0707325,0.7021619],"study_design_scores_gemma":[0.00009101866,0.001127475,0.03521892,0.001957146,0.0003094203,0.0005570418,0.01795847,0.01686449,0.02291833,0.05028556,0.8525172,0.0001948586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1514635,0.00755491,0.05249598,0.01421473,0.0009012268,0.00089524,0.001480127,0.001074727,0.7699196],"genre_scores_gemma":[0.6542922,0.009070295,0.05005236,0.001606651,0.0002059989,0.0005796482,0.001212088,0.0003882663,0.2825925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05589568,"threshold_uncertainty_score":0.1869897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255814868002245,"score_gpt":0.2596886797404354,"score_spread":0.2371305310604129,"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."}}