{"id":"W3196606487","doi":"","title":"Peran Manajemen Keragaman Budaya dalam Kinerja Organisasi Non Profit Berbasis Aliansi (Studi Kasus Pada Jakarta Centre For Law Enforcement Cooperation)","year":2021,"lang":"id","type":"article","venue":"DJE (Diponegoro Journal of Economics)/Diponegoro Journal of Economics","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Business; Documentation; Government (linguistics); Competitive advantage; Diversity (politics); Public relations; Indonesian; Creativity; Alliance; Organizational culture; Marketing; Political science; Law","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005314068,0.001357676,0.00331255,0.0007448262,0.001564078,0.001596448,0.002172698,0.0006823623,0.001657059],"category_scores_gemma":[0.0004534816,0.001445713,0.002002586,0.0004644001,0.0006207333,0.004106958,0.0005214935,0.001401749,0.0001184995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893963,"about_ca_system_score_gemma":0.003523977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004145333,"about_ca_topic_score_gemma":0.008090032,"domain_scores_codex":[0.9892551,0.000526096,0.006647797,0.001076427,0.0005156012,0.001978955],"domain_scores_gemma":[0.9861568,0.0006595211,0.007472219,0.001011919,0.003137899,0.001561602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008613655,0.005878399,0.01439503,0.00263588,0.03454353,0.001709303,0.08899701,0.1213531,0.004646891,0.572387,0.1078639,0.03697633],"study_design_scores_gemma":[0.01719955,0.003399252,0.001075749,0.001053614,0.003994418,0.0009471963,0.03026775,0.003956313,0.01518959,0.005260381,0.9148096,0.00284663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471289,0.003732812,0.0005275265,0.02375226,0.01085175,0.002031975,0.0001652976,0.00002908273,0.01178039],"genre_scores_gemma":[0.9310049,0.0416169,0.004408561,0.004066086,0.006456581,0.00002998191,0.0001184722,0.0003213607,0.01197717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8069456,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361550485095729,"score_gpt":0.2538022903799222,"score_spread":0.230186785528965,"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."}}