{"id":"W4388569666","doi":"10.35497/565200","title":"Meningkatkan Inklusi dalam Indeks Literasi Digital Nasional: Dari Pengukuran hingga Pemberdayaan","year":2023,"lang":"id","type":"report","venue":"","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Computer science","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003967221,0.001427887,0.001625974,0.001116511,0.0007535173,0.003375244,0.003427112,0.00106392,0.0004067161],"category_scores_gemma":[0.00465425,0.001297607,0.0008987627,0.002121629,0.000369591,0.002032988,0.002767869,0.002344375,0.001177884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676931,"about_ca_system_score_gemma":0.009537937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000351382,"about_ca_topic_score_gemma":0.0001108154,"domain_scores_codex":[0.9886333,0.00047442,0.002213537,0.002861038,0.004163469,0.001654184],"domain_scores_gemma":[0.9895613,0.003327433,0.001271771,0.002537257,0.001901255,0.001400958],"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":[0.00006013057,0.002025016,0.03187863,0.001687404,0.001313831,0.002357193,0.0278786,0.00003782833,0.0002665783,0.04262962,0.11195,0.7779152],"study_design_scores_gemma":[0.0007317018,0.0003393831,0.02510305,0.001544935,0.0001556603,0.001140868,0.0008405258,0.001235099,0.0001474422,0.007147895,0.9594274,0.002186052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07974776,0.005240747,0.05921654,0.02419584,0.1370604,0.005431944,0.0006086198,0.004683606,0.6838145],"genre_scores_gemma":[0.04261797,0.002208967,0.1608176,0.001216244,0.009677552,0.0004522618,0.002547728,0.000582503,0.7798792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8474774,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180160864740231,"score_gpt":0.4101591701774859,"score_spread":0.229998305437255,"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."}}