{"id":"W4393664546","doi":"10.32493/skr.v10i2.31503","title":"ANALISIS MANAJEMEN TALENTA KANDIDAT KEY POSITION TEAM LEADER MENGGUNAKAN METODE HUMAN ASSET VALUES MATRIX (STUDI PADA KARYAWAN PERUSAHAAN PELATIHAN DAN PENGEMBANGAN SUMBER DAYA MANUSIA DI JAKARTA SELATAN)","year":2023,"lang":"id","type":"article","venue":"Jurnal Sekretari Universitas Pamulang","topic":"Employee Performance and Motivation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Business administration; Business; Asset (computer security); Position (finance); Management; Economics; Finance; Computer science; Computer security","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008883899,0.00100287,0.0009052588,0.00148855,0.002621973,0.001043043,0.0009194716,0.0004465872,0.001089544],"category_scores_gemma":[0.00003851682,0.001072485,0.0005543663,0.002111562,0.0002152393,0.005936975,0.0008644981,0.000952935,0.001176496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006987801,"about_ca_system_score_gemma":0.00007449607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002449922,"about_ca_topic_score_gemma":0.001390334,"domain_scores_codex":[0.9949279,0.0001748119,0.0009217835,0.001196895,0.001381785,0.001396796],"domain_scores_gemma":[0.9976413,0.00009077907,0.0008481893,0.0008343747,0.0004001054,0.0001852089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002800204,0.0005049266,0.8188695,0.001058899,0.001996025,0.000794229,0.004628497,0.0006064803,0.005745026,0.003789453,0.1612201,0.0005067512],"study_design_scores_gemma":[0.004775723,0.0003899133,0.8548789,0.001021956,0.004451023,0.00004363682,0.05193569,0.006286712,0.0006395411,0.0002903083,0.07274357,0.002543032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96648,0.0004678931,0.00004499125,0.001725877,0.0007360671,0.0009189041,0.0001201649,0.0005021151,0.02900401],"genre_scores_gemma":[0.9823224,0.0002576226,0.00004941214,0.0004024172,0.001723258,0.00001060552,0.006726947,0.0001674547,0.008339912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08847658,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227570844023832,"score_gpt":0.2643657854947961,"score_spread":0.2416087010924129,"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."}}