{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002776892,0.0009987155,0.001152314,0.0006332571,0.004004343,0.002671288,0.001956056,0.0003084395,0.008887707],"category_scores_gemma":[0.0008227939,0.001086944,0.0007919456,0.001878332,0.0008124133,0.001977006,0.001751646,0.001480503,0.0008478701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158994,"about_ca_system_score_gemma":0.001000387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002512597,"about_ca_topic_score_gemma":0.0001419653,"domain_scores_codex":[0.9903377,0.0008573282,0.001515315,0.001431509,0.003622501,0.002235699],"domain_scores_gemma":[0.9959832,0.001214458,0.0009353909,0.0006031896,0.0002330184,0.001030769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005335626,0.002839659,0.4788917,0.0004786349,0.001704408,0.003469647,0.1656388,0.0002470631,0.0003249845,0.02058525,0.2424589,0.0780254],"study_design_scores_gemma":[0.00335221,0.00070622,0.0398068,0.0002235072,0.00028667,0.0002572801,0.04606454,0.0002085325,0.00008990528,0.001834904,0.9046211,0.002548282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4878024,0.001162804,0.00002305483,0.003529905,0.004819854,0.0008000742,0.0003915149,0.0003286321,0.5011417],"genre_scores_gemma":[0.9529293,0.0002126003,0.0002249333,0.0006617183,0.00241395,0.0001297296,0.0003770641,0.0001505084,0.04290025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6621623,"threshold_uncertainty_score":0.9999301,"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."}}