{"id":"W4293180824","doi":"10.47995/jian.v4i1.70","title":"Pengembangan Sumber Daya Manusia Dalam Manajemen Bencana (Studi Di BPBD Kabupaten Bangka)","year":2022,"lang":"id","type":"article","venue":"Jurnal Studia Administrasi","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Political science; Humanities; Business; Art","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","sts"],"consensus_categories":[],"category_scores_codex":[0.001377986,0.0007745969,0.0008178222,0.0002779192,0.003428574,0.0007496385,0.003680059,0.0001369219,0.0004788998],"category_scores_gemma":[0.0001348889,0.0008525405,0.0003721643,0.001473479,0.0002498219,0.000468,0.003787104,0.002011074,0.0003456229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697591,"about_ca_system_score_gemma":0.001049584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307949,"about_ca_topic_score_gemma":0.0003408492,"domain_scores_codex":[0.9934542,0.0006167497,0.001059131,0.001785728,0.001691769,0.001392472],"domain_scores_gemma":[0.9961737,0.0003588941,0.0007707208,0.001867596,0.0001745623,0.0006545376],"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":[0.000210527,0.006153326,0.4945301,0.0003320362,0.002512437,0.00292767,0.01359855,0.000616873,0.0004226554,0.117524,0.2159947,0.1451771],"study_design_scores_gemma":[0.0008769329,0.001133875,0.4788067,0.00003908185,0.0002681502,0.0003069186,0.001193987,0.0008598567,0.00003705449,0.00007853375,0.5155795,0.0008194727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7288108,0.004129954,0.005738455,0.02651519,0.007473355,0.00266805,0.001230614,0.001253325,0.2221802],"genre_scores_gemma":[0.9746329,0.0001782028,0.0007921799,0.0004340809,0.0005721143,0.0004384108,0.0003460833,0.0001005853,0.02250542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2995847,"threshold_uncertainty_score":0.9993925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400651205580787,"score_gpt":0.2839719924616195,"score_spread":0.2599654804058117,"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."}}