{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000591298,0.000166225,0.0002077564,0.0001540058,0.0007161789,0.0001328209,0.000477084,0.00009977418,0.000253061],"category_scores_gemma":[0.0001022895,0.0001626325,0.0001001614,0.0005288997,0.0001758029,0.0003008912,0.0001456502,0.0001457878,0.0001523881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835014,"about_ca_system_score_gemma":0.0001490181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664371,"about_ca_topic_score_gemma":0.002981204,"domain_scores_codex":[0.9984649,0.0001059471,0.0002361875,0.0003285821,0.0003414325,0.0005229299],"domain_scores_gemma":[0.9993362,0.00004869014,0.00006600295,0.0003481775,0.00007995153,0.0001209551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003813203,0.0001977231,0.04403192,0.0001049573,0.0001209481,0.00003063351,0.01298125,0.00002429991,0.0004766193,0.7940707,0.08374441,0.06417847],"study_design_scores_gemma":[0.0003638944,0.00004752865,0.01930245,0.00005516569,0.00003965903,2.472472e-7,0.005312779,0.00006643082,0.0002952428,0.002656522,0.9716304,0.0002297145],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3666493,0.0001890158,0.0001980894,0.006090212,0.001284801,0.0004305457,0.000004400593,0.0002586886,0.6248949],"genre_scores_gemma":[0.9529304,0.0002976293,0.0002956853,0.0009419739,0.0002971919,0.00005695418,0.00001569158,0.00001445215,0.04515004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.887886,"threshold_uncertainty_score":0.6631962,"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."}}