{"id":"W4280580375","doi":"10.14421/fhrs.2021.162.177-199","title":"ADOPSI DAN IMPLEMENTASI KECAKAPAN LITERASI INFORMASI DAN LITERASI DIGITAL UNTUK AKSELERASI UMKM DI INDONESIA PASCA PANDEMI COVID-19","year":2022,"lang":"en","type":"article","venue":"Fihris Jurnal Ilmu Perpustakaan dan Informasi","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Small and medium-sized enterprises; Investment (military); Business; Economic growth; Political science; Public relations; Economics; Geography; Politics; Finance; Medicine","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":[0.002230913,0.0003390709,0.0002354863,0.000864937,0.001574758,0.006460349,0.0006765646,0.0007516068,0.02374249],"category_scores_gemma":[0.003974684,0.0002180413,0.000325541,0.0009380012,0.001014006,0.003591409,0.002947608,0.001573588,0.007472365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006168,"about_ca_system_score_gemma":0.004928255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003933985,"about_ca_topic_score_gemma":0.004519374,"domain_scores_codex":[0.9984728,0.0006379705,0.0001093175,0.0001686235,0.0003709599,0.0002403542],"domain_scores_gemma":[0.9974424,0.0007870524,0.0002214491,0.0003065811,0.0006185477,0.0006241092],"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":[0.0001919049,0.001509752,0.03887637,0.001987711,0.00003816152,0.001319317,0.02857475,0.0007235886,0.006000995,0.03898334,0.04891315,0.8328809],"study_design_scores_gemma":[0.00004532309,0.0003384717,0.06283022,0.002123995,0.00008011649,0.00100441,0.03820702,0.001930529,0.008159729,0.007581588,0.8776063,0.00009224332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2400353,0.005872413,0.01375018,0.017145,0.0005794312,0.0006878134,0.0008192561,0.001350487,0.7197601],"genre_scores_gemma":[0.8246512,0.008038091,0.02209589,0.002305229,0.0001354546,0.000447012,0.0007282612,0.0001999331,0.1413991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02374249,"threshold_uncertainty_score":0.07942659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780064387421467,"score_gpt":0.3016271882899357,"score_spread":0.273826544415721,"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."}}