{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002134236,0.0005298043,0.0004465064,0.002454346,0.001217793,0.003796567,0.0006515138,0.000450183,0.02594113],"category_scores_gemma":[0.00951487,0.0002170337,0.000409645,0.003395551,0.0004928537,0.001750923,0.001491829,0.0008170783,0.003608767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585047,"about_ca_system_score_gemma":0.002075184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243002,"about_ca_topic_score_gemma":0.02359895,"domain_scores_codex":[0.998072,0.0005310578,0.0001381835,0.0003152989,0.0006777503,0.000265731],"domain_scores_gemma":[0.9914658,0.003654367,0.0009546774,0.0002952273,0.002845225,0.0007847198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007527604,0.0002959068,0.5398349,0.001547137,0.0003045232,0.0009615752,0.05461796,0.002836018,0.003567381,0.01442562,0.03823687,0.3426193],"study_design_scores_gemma":[0.00003155435,0.0003766366,0.6247786,0.0006742275,0.0001626798,0.0004714353,0.2399886,0.005187538,0.002692136,0.00632325,0.1192192,0.00009412441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227867,0.001334553,0.008245302,0.001929827,0.000222061,0.0002469617,0.005716866,0.0001953556,0.05932236],"genre_scores_gemma":[0.9609189,0.0006586767,0.004985552,0.000126552,0.00003787241,0.0002269209,0.002154536,0.00006337634,0.03082761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02594113,"threshold_uncertainty_score":0.08678174,"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."}}