{"id":"W4390147379","doi":"10.20527/jukung.v9i2.17578","title":"ANALISIS KINERJA LINGKUNGAN PT. X TERHADAP PROGRAM PENILAIAN PERINGKAT KINERJA PERUSAHAAN (PROPER)","year":2023,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Business","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":[0.0009412984,0.0004477277,0.0003961996,0.0006046843,0.00062977,0.001062647,0.0004147818,0.0004593512,0.01145859],"category_scores_gemma":[0.0009307053,0.0002465303,0.0005420261,0.0006429431,0.0003510717,0.0004877788,0.0005948336,0.001043445,0.001752669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005766035,"about_ca_system_score_gemma":0.001070677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006331165,"about_ca_topic_score_gemma":0.01400785,"domain_scores_codex":[0.9990742,0.0001524396,0.00006106892,0.0002134692,0.0003764839,0.0001222888],"domain_scores_gemma":[0.9991941,0.0002184535,0.0001905209,0.00004505395,0.0002478062,0.0001042431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007645098,0.003138525,0.280084,0.005685802,0.0005187886,0.001514516,0.008994341,0.0009465055,0.3566877,0.001916896,0.01223507,0.3206328],"study_design_scores_gemma":[0.0001380283,0.008285688,0.6727894,0.0007520054,0.0007220099,0.001509253,0.01179299,0.0007344732,0.1735103,0.0009539069,0.1287149,0.00009709902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963636,0.004254524,0.003386794,0.0008174572,0.0001065273,0.0004323855,0.005424584,0.0001356404,0.02180609],"genre_scores_gemma":[0.8986552,0.003431512,0.007003032,0.0007824122,0.00003075549,0.0005999453,0.003282787,0.0001021665,0.08611228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145859,"threshold_uncertainty_score":0.03833276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338420874787377,"score_gpt":0.2654590604441389,"score_spread":0.2420748516962651,"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."}}