{"id":"W7118808332","doi":"10.35965/jbm.v8i1.7772","title":"ANALISIS KOMPETENSI SDM DALAM PENINGKATAN KINERJA MELALUI PENGUASAAN TEKNOLOGI PADA KANTOR PERTANAHAN KABUPATEN BONE","year":2025,"lang":"","type":"article","venue":"Indonesian Journal of Business and Management","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Competence (human resources); Human resources; Sample (material); Data collection","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":[0.002501346,0.0007500761,0.001388019,0.001682537,0.001304508,0.0008117106,0.001188877,0.0002849755,0.000253469],"category_scores_gemma":[0.0001169436,0.0006577774,0.0003937656,0.002832722,0.0007037842,0.001360677,0.000829434,0.0005707065,0.00001210935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350955,"about_ca_system_score_gemma":0.0003177824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000781436,"about_ca_topic_score_gemma":0.0009163766,"domain_scores_codex":[0.9943536,0.0003583735,0.001992769,0.000792101,0.001321143,0.001182019],"domain_scores_gemma":[0.9963217,0.0001089259,0.001424966,0.000663803,0.001077358,0.0004032093],"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":[0.002694347,0.003598166,0.2054853,0.008626473,0.01002838,0.01259102,0.02288163,0.001635961,0.0006718365,0.1568113,0.0511376,0.5238379],"study_design_scores_gemma":[0.006403194,0.0007177099,0.7364324,0.003924995,0.003816074,0.0001293584,0.07272661,0.0005197758,0.0001426476,0.001576191,0.1719537,0.001657319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918158,0.01549155,0.006793393,0.03860703,0.006926269,0.002070145,0.00001787651,0.0001149341,0.03816298],"genre_scores_gemma":[0.9479437,0.04684285,0.0007372354,0.0007484143,0.0006614653,0.00003022149,0.000008159953,0.0000475644,0.002980399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5309471,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421428306503852,"score_gpt":0.2628713417835543,"score_spread":0.2486570587185158,"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."}}