{"id":"W4392480776","doi":"10.7454/jipk.v24i1.004","title":"Kesiagaan Menghadapi Bencana Pandemi Covid-19 di Kantor Arsip Universitas Indonesia","year":2022,"lang":"id","type":"article","venue":"Jurnal Ilmu Informasi Perpustakaan dan Kearsipan","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Virology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007574972,0.0004762373,0.0004209163,0.0007212713,0.00182792,0.004634621,0.0003936318,0.0005576977,0.02033326],"category_scores_gemma":[0.001213239,0.0002654729,0.0003222841,0.001146629,0.000558101,0.001568976,0.001272148,0.001330911,0.004544845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698661,"about_ca_system_score_gemma":0.004316309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003908704,"about_ca_topic_score_gemma":0.006444825,"domain_scores_codex":[0.9995127,0.0001117472,0.00005402676,0.00008457985,0.000157128,0.00007985347],"domain_scores_gemma":[0.9992816,0.000226776,0.0001112421,0.00005668356,0.0001894633,0.0001343588],"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":[0.0005370984,0.0007970083,0.04005153,0.002244101,0.00008314886,0.00304026,0.004840853,0.008663025,0.008063341,0.07341377,0.09158948,0.7666764],"study_design_scores_gemma":[0.0000563008,0.0004054837,0.05806966,0.001280612,0.0001386414,0.004346278,0.01951493,0.02177664,0.0157784,0.02479794,0.8536273,0.0002079334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.395355,0.03787537,0.03049945,0.02536723,0.002383196,0.0003924932,0.001929015,0.0009638799,0.5052343],"genre_scores_gemma":[0.827136,0.02036529,0.02205601,0.0006638229,0.0002045526,0.0002129225,0.0006587082,0.0001194928,0.1285832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02033326,"threshold_uncertainty_score":0.06802154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114783892337691,"score_gpt":0.2348411026254873,"score_spread":0.2136932637021104,"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."}}