{"id":"W4283721959","doi":"10.24036/ib.v3i2.322","title":"STRATEGI SOSIAL MEDIA, KECAKAPAN LITERASI INFORMASI DAN LITERASI DIGITAL START-UP SIGER INNOVATION HUB (@SIGERHUB) SEBAGAI INKUBATOR BISNIS UMKM DI PROVINSI LAMPUNG","year":2022,"lang":"en","type":"article","venue":"Info Bibliotheca Jurnal Perpustakaan dan Ilmu Informasi","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Digital literacy; Business; Recession; Investment (military); Consumption (sociology); Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Pandemic; Financial literacy; Economic growth; Marketing; Economics; Political science; Geography; Finance; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418821,0.0005811415,0.0002173346,0.001320387,0.001774932,0.007697151,0.0006027116,0.001093863,0.04758321],"category_scores_gemma":[0.002411201,0.0001913895,0.000363692,0.001125034,0.0008682114,0.003529204,0.003432113,0.001513669,0.01184658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150837,"about_ca_system_score_gemma":0.0051147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151071,"about_ca_topic_score_gemma":0.005038453,"domain_scores_codex":[0.9990885,0.0003210275,0.00004517279,0.0001026075,0.0002102294,0.0002324683],"domain_scores_gemma":[0.9974726,0.0007418416,0.0003199897,0.000130493,0.0004300268,0.0009050889],"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":[0.0002622694,0.001910996,0.0509178,0.002832627,0.0000715869,0.001490304,0.01460892,0.0009084058,0.005863342,0.04013803,0.06367746,0.8173183],"study_design_scores_gemma":[0.00006970164,0.0006582001,0.0556258,0.002279655,0.0001299521,0.0007985988,0.05939519,0.002075878,0.007490314,0.0131311,0.8582416,0.0001039895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2072461,0.006461719,0.01153078,0.02293991,0.0009371716,0.0007038302,0.0009383798,0.0008216549,0.7484204],"genre_scores_gemma":[0.760329,0.01003924,0.01684707,0.002971364,0.0002861414,0.0004637751,0.0008582683,0.0001619855,0.2080432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04758321,"threshold_uncertainty_score":0.1591817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552756294178029,"score_gpt":0.2745616228813572,"score_spread":0.2490340599395769,"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."}}