{"id":"W4415040707","doi":"10.51903/qt3dsp14","title":"MENGUKUR KINERJA KARYAWAN MELALUI PEMBERIAN KOMPENSASI DAN FAKTOR KEPEMIMPINAN","year":2025,"lang":"en","type":"article","venue":"Dinamika","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Nonprobability sampling; Sample (material); Leadership style; Regression analysis; Linear regression; Compensation (psychology)","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":[0.0007074896,0.0004018272,0.0002561146,0.0004053525,0.001147681,0.001418464,0.0002430854,0.0003500521,0.008812521],"category_scores_gemma":[0.0006210308,0.0001265548,0.0001588977,0.0003631439,0.000384295,0.0006470957,0.0007282034,0.0005436455,0.002124829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004774748,"about_ca_system_score_gemma":0.001559678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007744845,"about_ca_topic_score_gemma":0.002574573,"domain_scores_codex":[0.9996893,0.00007929065,0.00001731192,0.00004138701,0.0001099666,0.00006276392],"domain_scores_gemma":[0.9997124,0.000088147,0.0000644888,0.00001573848,0.00006451563,0.00005470954],"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":[0.0007239447,0.0008926417,0.1362632,0.001560093,0.00007537574,0.00360713,0.01238082,0.0008721933,0.02495031,0.01415036,0.008083661,0.7964403],"study_design_scores_gemma":[0.00009570784,0.002249909,0.573827,0.001674532,0.0002686067,0.009418836,0.04125754,0.00320002,0.02299551,0.005999351,0.3388425,0.0001706309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921247,0.00613146,0.001766137,0.002436786,0.0002324035,0.00005983244,0.00009520035,0.00006065753,0.06797057],"genre_scores_gemma":[0.9692596,0.005087898,0.003145678,0.0002951501,0.00006813026,0.00004825238,0.0001227258,0.00001449399,0.02195808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008812521,"threshold_uncertainty_score":0.02948081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467419018072643,"score_gpt":0.3197273492402731,"score_spread":0.3050531590595467,"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."}}