{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002876506,0.0009697515,0.0008395471,0.006737645,0.003154282,0.007437139,0.00172404,0.000419047,0.0002480058],"category_scores_gemma":[0.00163534,0.0009857599,0.0004149262,0.01532047,0.0007808536,0.01562467,0.001036429,0.001629697,0.00003322662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304703,"about_ca_system_score_gemma":0.003546303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028941,"about_ca_topic_score_gemma":0.0002140078,"domain_scores_codex":[0.9906423,0.0002967048,0.002645896,0.0007511749,0.003526444,0.00213748],"domain_scores_gemma":[0.9951458,0.0007064087,0.00141242,0.0006887851,0.001275286,0.0007712868],"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":[0.0009947666,0.0004225773,0.494994,0.0002642803,0.0003010018,0.0001367284,0.1744626,0.000288903,0.0003390504,0.07873955,0.004941639,0.2441149],"study_design_scores_gemma":[0.002090655,0.0003895541,0.03269456,0.0001566921,0.00004018845,0.00008437492,0.04005048,0.0002877519,0.0003076391,0.0003885914,0.9219087,0.001600867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798081,0.0001393504,0.000059384,0.0006047398,0.001927503,0.001064641,0.00008519659,0.0005670901,0.215744],"genre_scores_gemma":[0.9864324,0.0001645046,0.0001807433,0.002264465,0.001201137,0.0001811794,0.0009680681,0.000126531,0.008480974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.916967,"threshold_uncertainty_score":0.9992593,"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."}}