{"id":"W4407093884","doi":"10.24269/pls.v5i2.4190","title":"PELUANG DAN TANTANGAN PERPUSTAKAAN DIGITAL DI MASA PANDEMI COVID-19: SEBUAH TINJAUAN LITERATUR","year":2021,"lang":"ms","type":"article","venue":"Publication Library and Information Science","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Political science; Medicine; Virology; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00133057,0.0002936512,0.0002600538,0.0007174817,0.001152146,0.0124667,0.001321405,0.0001472661,0.0002136395],"category_scores_gemma":[0.003999074,0.0002794219,0.00008309782,0.005115355,0.0006829072,0.1531007,0.0008536775,0.0003600198,0.00009453144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008879076,"about_ca_system_score_gemma":0.005393294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002432027,"about_ca_topic_score_gemma":1.414705e-7,"domain_scores_codex":[0.9965623,0.000177704,0.0009178585,0.0007040623,0.001032991,0.0006050926],"domain_scores_gemma":[0.995833,0.0004746915,0.0005789149,0.0009397591,0.0006828821,0.001490714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001318192,0.000110384,0.01148534,0.0001566296,0.00001028417,0.000002923264,0.01512122,0.00001667516,0.000220571,0.8543534,0.00383471,0.1146747],"study_design_scores_gemma":[0.0004137528,0.00005544398,0.0306975,0.00005950509,0.000009790834,0.0002040975,0.003291631,0.01739559,0.001733355,0.002620426,0.9430591,0.0004598075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1269603,0.002520433,0.2231719,0.4430475,0.005861441,0.001670675,0.0007647565,0.00118616,0.1948169],"genre_scores_gemma":[0.7733682,0.003393373,0.1180556,0.08729567,0.001141779,0.0001870913,0.002968547,0.00004650781,0.01354325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9392244,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592046737665535,"score_gpt":0.2929029067341182,"score_spread":0.2669824393574629,"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."}}