{"id":"W4220828451","doi":"10.52434/jp.v14i2.30","title":"Pengaruh Pelaksanaan Kebijakan Kepegawaian Terhadap Manajemen Pembinaan Pegawai Untuk Mewujudkan Kinerja Pegawai Badan Perencanaan Pembangunan Daerah Kabupaten Garut","year":2020,"lang":"id","type":"article","venue":"Jurnal Publik","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; 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":[0.004095601,0.0008064873,0.001101196,0.001304515,0.002419322,0.005627719,0.001163302,0.00125913,0.03961389],"category_scores_gemma":[0.01043126,0.0006609398,0.00121639,0.001522539,0.001774096,0.004149958,0.002962008,0.002616631,0.007467669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376482,"about_ca_system_score_gemma":0.006259026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025908,"about_ca_topic_score_gemma":0.02093218,"domain_scores_codex":[0.9964736,0.001016542,0.0002768668,0.0006247822,0.001191052,0.0004171102],"domain_scores_gemma":[0.994093,0.002298711,0.0007443732,0.0006519827,0.001514421,0.0006975701],"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":[0.002942978,0.001353825,0.09016616,0.006475071,0.0005324592,0.00223291,0.01788385,0.0011609,0.04182312,0.0240422,0.03116906,0.7802175],"study_design_scores_gemma":[0.0002342816,0.003055205,0.1728635,0.003258377,0.0009697077,0.003420602,0.04087386,0.001264893,0.03928917,0.02340597,0.7110493,0.0003151528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5753184,0.03999599,0.05622413,0.02227741,0.002878264,0.002408825,0.004370105,0.001142466,0.2953845],"genre_scores_gemma":[0.7593094,0.0226262,0.04628411,0.003920431,0.0003862754,0.001573204,0.001930341,0.0007003669,0.1632698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03961389,"threshold_uncertainty_score":0.1325216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539908071323419,"score_gpt":0.2727757621754903,"score_spread":0.2373766814622561,"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."}}