{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110786,0.0004278916,0.0006083901,0.001056416,0.002763247,0.004306054,0.0007621573,0.0006642501,0.02188683],"category_scores_gemma":[0.002807796,0.0003757513,0.0004861282,0.002335351,0.0008193108,0.002822846,0.001969731,0.001357542,0.002884141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003328763,"about_ca_system_score_gemma":0.005141316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07636587,"about_ca_topic_score_gemma":0.1834274,"domain_scores_codex":[0.9987903,0.0002694705,0.00008863444,0.0002133147,0.0003752165,0.000263175],"domain_scores_gemma":[0.9982309,0.0004934157,0.0002581496,0.0001320098,0.000545038,0.0003406123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001257656,0.0007974104,0.449835,0.004961534,0.0003652925,0.003697546,0.1344265,0.0004308793,0.005272728,0.02159642,0.02844532,0.3489137],"study_design_scores_gemma":[0.00003114014,0.000242731,0.536891,0.001853972,0.0002430317,0.000901476,0.2115833,0.0002230286,0.00223272,0.002587059,0.2431286,0.00008188271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720597,0.01339617,0.00162371,0.003690051,0.0003324663,0.0001771898,0.001906132,0.00008275886,0.1067318],"genre_scores_gemma":[0.9440713,0.007143332,0.001263848,0.000653304,0.00004379031,0.0001356376,0.0010701,0.00007225788,0.04554644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07636587,"threshold_uncertainty_score":0.1518427,"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."}}