{"id":"W2132740645","doi":"10.5539/ijef.v1n1p103","title":"The Relationship between Human Resource Management and Firm Performance in Malaysia","year":2009,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Human resource management; Sample (material); Business; Industrial organization; Human capital; Knowledge management; Resource (disambiguation); Human resources; Management; Economics; Microeconomics; Economic growth; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003059622,0.0000766282,0.0001013863,0.000195286,0.0001298641,0.0002503555,0.0002471067,0.00002196426,0.000003007236],"category_scores_gemma":[0.00001169783,0.00006380182,0.00003034218,0.00004923428,0.00003726466,0.0004954332,0.00008416012,0.0001118924,0.000004682828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828601,"about_ca_system_score_gemma":0.000002737866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003465744,"about_ca_topic_score_gemma":0.000008288339,"domain_scores_codex":[0.9993841,0.000003792613,0.0003368818,0.0000995879,0.00007115545,0.000104475],"domain_scores_gemma":[0.9995394,0.00004544352,0.0003042482,0.00007110235,0.00003371359,0.000006043244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003837817,0.00002351557,0.5226722,0.0000121422,0.00002983134,0.00001598571,0.00004556531,0.00145386,2.941466e-7,0.4359793,0.0002998212,0.03942917],"study_design_scores_gemma":[0.0004264018,0.00001568895,0.7899067,0.00005436301,0.000007834086,0.000003767832,0.0000452622,0.001061463,4.869109e-7,0.01380544,0.1946106,0.00006191708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859082,0.0002858223,0.000006276285,0.002640808,0.00007728593,0.00006232038,6.489512e-7,0.000002475234,0.01101622],"genre_scores_gemma":[0.9977161,0.001005269,0.00004661172,0.0003849964,0.0004182352,0.000001303415,0.00000259422,0.000004787154,0.0004201611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221739,"threshold_uncertainty_score":0.2601763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378334946501202,"score_gpt":0.2300984802552774,"score_spread":0.2063151307902654,"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."}}