{"id":"W2923202876","doi":"10.33087/ekonomis.v3i1.55","title":"Pengaruh Lingkungan Kerja Terhadap Kinerja Pegawai Pada Kantor Badan Perencanaan Pembangunan Daerah Kabupaten Batang Hari","year":2019,"lang":"en","type":"article","venue":"EKONOMIS Journal of Economics and Business","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Work environment; Path analysis (statistics); Work (physics); Population; Work performance; Business administration; Test (biology); Business; Operations management; Engineering; Mathematics; Statistics; Sociology; Mechanical engineering; Demography","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":[0.0007632322,0.0003536823,0.0002198448,0.0004186346,0.001778916,0.001550184,0.0002815773,0.000336073,0.01634934],"category_scores_gemma":[0.00072226,0.0001907224,0.0002102107,0.0005093111,0.0005099275,0.000899066,0.0009891193,0.0007801262,0.002468666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007585883,"about_ca_system_score_gemma":0.002323005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407038,"about_ca_topic_score_gemma":0.01153581,"domain_scores_codex":[0.9996427,0.00009481942,0.00001795016,0.00005500838,0.0001008097,0.00008861275],"domain_scores_gemma":[0.9995154,0.0001343172,0.00007701325,0.00002515263,0.000111065,0.0001371206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008113357,0.001443534,0.2186825,0.002163949,0.0001633198,0.006004578,0.03367548,0.001478617,0.02287248,0.02074817,0.02971459,0.6622414],"study_design_scores_gemma":[0.000051026,0.0007364965,0.5422752,0.0008883818,0.0002013571,0.003967003,0.04426589,0.001081262,0.008174777,0.003676245,0.3945646,0.0001177072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081664,0.007560358,0.001957484,0.004339419,0.0003871313,0.00009307123,0.0003162008,0.00009836329,0.07708143],"genre_scores_gemma":[0.9563071,0.004344262,0.002326294,0.0003031318,0.00007104297,0.00005914091,0.0002300177,0.00003264997,0.03632631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634934,"threshold_uncertainty_score":0.054694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972191431979518,"score_gpt":0.2415331390871836,"score_spread":0.2218112247673884,"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."}}