{"id":"W4376461420","doi":"10.15575/jim.v3i2.22303","title":"PENGARUH UPAH TERHADAP TURNOVER INTENTION KARYAWAN TEXTILE INDUSTRY: STUDI KASUS PADA PT. HEGARMANAH LESTARI","year":2022,"lang":"en","type":"article","venue":"Komitmen Jurnal Ilmiah Manajemen","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inventory turnover; Business; Business administration; Quarter (Canadian coin); Textile industry; Productivity; Turnover; Agricultural science; Asset (computer security); Economics; Management; Finance; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004771401,0.0001506615,0.000151505,0.0004670717,0.0006790296,0.0008947439,0.0001560512,0.0002057813,0.002333495],"category_scores_gemma":[0.0006176665,0.0001331257,0.0001737626,0.0005157258,0.0002175706,0.000398248,0.000295308,0.0004795237,0.0004512885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003589939,"about_ca_system_score_gemma":0.0005384827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062153,"about_ca_topic_score_gemma":0.008297659,"domain_scores_codex":[0.99981,0.00004271444,0.00001492299,0.00001774795,0.00006621682,0.00004835982],"domain_scores_gemma":[0.999542,0.0001524551,0.0001443677,0.00001219696,0.00005895362,0.00009000549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000141896,0.0009238432,0.9139123,0.0001839779,0.00004254981,0.0009341366,0.02993281,0.0001289843,0.00129183,0.0009722714,0.001348175,0.05018726],"study_design_scores_gemma":[0.000004145189,0.0003078957,0.961922,0.0001273311,0.00002510841,0.0004093317,0.03387496,0.0002826127,0.000358424,0.0001344544,0.002543715,0.00001000374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978513,0.0003081161,0.00003194647,0.00009410371,0.000006266725,0.000005225878,0.00002333642,7.322698e-7,0.001679069],"genre_scores_gemma":[0.9980891,0.0005497759,0.00005597789,0.00002519803,0.000006526637,0.000008892612,0.00004098376,6.9941e-7,0.001222795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004062153,"threshold_uncertainty_score":0.008077025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566749032605646,"score_gpt":0.3053150608279526,"score_spread":0.2696475705018961,"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."}}