{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001909822,0.0003379488,0.0003747371,0.0002982689,0.0025067,0.0002655223,0.0009588146,0.0001587595,0.002666462],"category_scores_gemma":[0.0000641314,0.0003491922,0.0001993138,0.0007227332,0.0002192007,0.0007563104,0.0008442122,0.001255367,0.00008713418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132285,"about_ca_system_score_gemma":0.0003009478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003100277,"about_ca_topic_score_gemma":0.004248674,"domain_scores_codex":[0.9960026,0.0004362003,0.0005817193,0.0005856726,0.0014335,0.0009603191],"domain_scores_gemma":[0.998709,0.00008429129,0.0003218058,0.0004620726,0.0001235651,0.0002992652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004529708,0.001655912,0.1039331,0.0001479925,0.001256917,0.0005559016,0.02893642,0.002158483,0.0003090265,0.1096523,0.6829691,0.06797191],"study_design_scores_gemma":[0.001181575,0.0003299354,0.01845624,0.00002507225,0.0001365965,0.000006404403,0.02751185,0.0001608811,0.00003919379,0.001246513,0.9504297,0.0004760485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6964322,0.0003972747,0.00009891727,0.01167586,0.002400707,0.001723273,0.00002705353,0.00035934,0.2868853],"genre_scores_gemma":[0.9462314,0.0002202973,0.0001200937,0.001971653,0.0005369303,0.0002866569,0.00006348894,0.00005016238,0.05051937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2674606,"threshold_uncertainty_score":0.999896,"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."}}