{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883614,0.0005221432,0.000404255,0.002343021,0.001131282,0.004861983,0.0006665632,0.0007498026,0.01457302],"category_scores_gemma":[0.004014634,0.0002770123,0.0005494606,0.003410278,0.0006373373,0.002740858,0.001638561,0.00140378,0.003322919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222366,"about_ca_system_score_gemma":0.002527669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757748,"about_ca_topic_score_gemma":0.02953991,"domain_scores_codex":[0.9977336,0.000351385,0.0001664822,0.0003793202,0.001038289,0.000330801],"domain_scores_gemma":[0.995711,0.001200448,0.0006155182,0.0003019176,0.001920915,0.0002502183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007533652,0.0004034326,0.5629916,0.00161852,0.0003456123,0.00128967,0.01277809,0.004794082,0.02346018,0.01887313,0.02512402,0.3475683],"study_design_scores_gemma":[0.00003003954,0.0005082577,0.6100609,0.0008750638,0.0003004463,0.0009832182,0.04737329,0.006142395,0.03001359,0.007545029,0.2959783,0.000189449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995711,0.003165761,0.01925976,0.004593122,0.0004121703,0.000430333,0.01084861,0.0006335339,0.1610857],"genre_scores_gemma":[0.9249288,0.001967488,0.01052172,0.0006401514,0.00008187336,0.0002144138,0.003620474,0.0001560452,0.05786888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01757748,"threshold_uncertainty_score":0.04875159,"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."}}